clusters stringlengths 2 332 | sentences stringlengths 265 3.01k | ner stringlengths 16 1.27k | relations stringlengths 16 1.06k | doc_key stringlengths 8 24 | split stringclasses 3
values | ner_re_processed stringlengths 618 8.5k |
|---|---|---|---|---|---|---|
[[[17, 20], [23, 23]]] | [["English", "is", "shown", "to", "be", "trans-context-free", "on", "the", "basis", "of", "coordinations", "of", "the", "respectively", "type", "that", "involve", "strictly", "syntactic", "cross-serial", "agreement", "."], ["The", "agreement", "in", "question", "involves", "number", "in", "nouns", "and", "reflexive", "... | [[[0, 0, "Material"], [10, 10, "OtherScientificTerm"], [17, 20, "OtherScientificTerm"]], [[23, 23, "Generic"], [29, 29, "OtherScientificTerm"], [31, 32, "OtherScientificTerm"], [42, 43, "OtherScientificTerm"], [45, 45, "Material"], [48, 49, "OtherScientificTerm"], [51, 51, "Material"], [54, 54, "Material"]], [[70, 71, ... | [[], [[29, 29, 31, 32, "CONJUNCTION"], [48, 49, 51, 51, "FEATURE-OF"], [54, 54, 51, 51, "HYPONYM-OF"]], []] | J87-1003 | train | [{"sentence": "English is shown to be trans-context-free on the basis of coordinations of the respectively type that involve strictly syntactic cross-serial agreement .", "entities": [{"text": "English", "type": "Material"}, {"text": "coordinations", "type": "OtherScientificTerm"}, {"text": "strictly syntactic cross-se... |
[[[62, 64], [90, 91], [96, 98], [112, 114]], [[6, 6], [170, 170]], [[81, 82], [126, 127]], [[129, 131], [142, 142]]] | [["In", "this", "paper", ",", "a", "novel", "method", "to", "learn", "the", "intrinsic", "object", "structure", "for", "robust", "visual", "tracking", "is", "proposed", "."], ["The", "basic", "assumption", "is", "that", "the", "parameterized", "object", "state", "lies", "on", "a", "low", "dimensional", "manifold", "and... | [[[6, 6, "Method"], [10, 12, "OtherScientificTerm"], [14, 16, "Task"]], [[26, 28, "OtherScientificTerm"], [32, 34, "OtherScientificTerm"]], [[52, 57, "Method"], [59, 64, "Task"], [62, 64, "Method"], [68, 72, "OtherScientificTerm"]], [[81, 82, "Method"], [90, 91, "Method"]], [[96, 98, "OtherScientificTerm"], [103, 105, ... | [[[6, 6, 10, 12, "USED-FOR"], [10, 12, 14, 16, "USED-FOR"]], [[32, 34, 26, 28, "FEATURE-OF"]], [[52, 57, 59, 64, "USED-FOR"]], [[90, 91, 81, 82, "USED-FOR"]], [[96, 98, 103, 105, "PART-OF"]], [[126, 127, 129, 131, "USED-FOR"]], [[142, 142, 148, 148, "COMPARE"], [142, 142, 151, 155, "USED-FOR"], [148, 148, 151, 155, "US... | CVPR_2003_18_abs | train | [{"sentence": "In this paper , a novel method to learn the intrinsic object structure for robust visual tracking is proposed .", "entities": [{"text": "method", "type": "Method"}, {"text": "intrinsic object structure", "type": "OtherScientificTerm"}, {"text": "robust visual tracking", "type": "Task"}], "relations": [{"... |
[[[154, 154], [214, 214]], [[40, 44], [85, 85], [170, 170]], [[15, 21], [150, 151], [165, 166], [206, 207]], [[95, 95], [111, 111]]] | [["In", "this", "paper", ",", "we", "present", "a", "digital", "signal", "processor", "-LRB-", "DSP", "-RRB-", "implementation", "of", "real-time", "statistical", "voice", "conversion", "-LRB-", "VC", "-RRB-", "for", "silent", "speech", "enhancement", "and", "electrolaryngeal", "speech", "enhancement", "."], ["As", "a"... | [[[7, 13, "Method"], [15, 21, "Method"], [23, 25, "Task"], [27, 29, "Task"]], [[33, 35, "OtherScientificTerm"], [40, 44, "Material"], [53, 54, "Material"]], [[59, 60, "Material"], [68, 69, "Material"], [74, 75, "Method"], [77, 77, "OtherScientificTerm"]], [[82, 83, "Metric"], [85, 85, "Material"], [85, 88, "Material"]]... | [[[7, 13, 15, 21, "USED-FOR"], [15, 21, 23, 25, "USED-FOR"], [15, 21, 27, 29, "USED-FOR"], [23, 25, 27, 29, "CONJUNCTION"]], [], [[59, 60, 68, 69, "HYPONYM-OF"], [74, 75, 68, 69, "USED-FOR"], [74, 75, 77, 77, "USED-FOR"]], [[82, 83, 85, 88, "EVALUATE-FOR"]], [[117, 117, 111, 111, "USED-FOR"], [119, 121, 117, 117, "FEAT... | INTERSPEECH_2013_31_abs | train | [{"sentence": "In this paper , we present a digital signal processor -LRB- DSP -RRB- implementation of real-time statistical voice conversion -LRB- VC -RRB- for silent speech enhancement and electrolaryngeal speech enhancement .", "entities": [{"text": "digital signal processor -LRB- DSP -RRB- implementation", "type": ... |
[[[3, 3], [110, 110]]] | [["We", "propose", "a", "method", "that", "automatically", "generates", "paraphrase", "sets", "from", "seed", "sentences", "to", "be", "used", "as", "reference", "sets", "in", "objective", "machine", "translation", "evaluation", "measures", "like", "BLEU", "and", "NIST", "."], ["We", "measured", "the", "quality", "of",... | [[[3, 3, "Generic"], [7, 7, "OtherScientificTerm"], [20, 23, "Metric"], [25, 25, "Metric"], [27, 27, "Metric"]], [[35, 35, "OtherScientificTerm"], [47, 47, "Metric"], [60, 62, "Metric"], [69, 69, "OtherScientificTerm"], [72, 73, "Method"], [75, 75, "Method"], [85, 89, "Metric"], [94, 94, "OtherScientificTerm"], [101, 1... | [[[3, 3, 7, 7, "USED-FOR"], [7, 7, 20, 23, "USED-FOR"], [25, 25, 20, 23, "HYPONYM-OF"], [25, 25, 27, 27, "CONJUNCTION"], [27, 27, 20, 23, "HYPONYM-OF"]], [[60, 62, 47, 47, "CONJUNCTION"], [72, 73, 69, 69, "USED-FOR"], [72, 73, 75, 75, "CONJUNCTION"], [75, 75, 69, 69, "USED-FOR"], [85, 89, 60, 62, "CONJUNCTION"], [94, 9... | I05-5008 | train | [{"sentence": "We propose a method that automatically generates paraphrase sets from seed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU and NIST .", "entities": [{"text": "method", "type": "Generic"}, {"text": "paraphrase", "type": "OtherScientificTerm"}, {"text":... |
[[[35, 35], [69, 69]]] | [["Graph", "unification", "remains", "the", "most", "expensive", "part", "of", "unification-based", "grammar", "parsing", "."], ["We", "focus", "on", "one", "speed-up", "element", "in", "the", "design", "of", "unification", "algorithms", ":", "avoidance", "of", "copying", "of", "unmodified", "subgraphs", "."], ["We", "... | [[[0, 1, "Task"], [8, 10, "Task"]], [[16, 17, "Method"], [22, 23, "Method"], [27, 30, "OtherScientificTerm"], [29, 30, "OtherScientificTerm"]], [[35, 35, "Generic"], [45, 45, "Method"], [48, 52, "OtherScientificTerm"], [56, 58, "OtherScientificTerm"], [64, 65, "Method"]], [[69, 69, "Generic"], [71, 72, "OtherScientific... | [[[0, 1, 8, 10, "PART-OF"]], [[16, 17, 22, 23, "PART-OF"]], [[45, 45, 35, 35, "USED-FOR"]], [[69, 69, 93, 94, "USED-FOR"], [76, 79, 69, 69, "FEATURE-OF"], [82, 83, 85, 86, "CONJUNCTION"]]] | C92-2068 | train | [{"sentence": "Graph unification remains the most expensive part of unification-based grammar parsing .", "entities": [{"text": "Graph unification", "type": "Task"}, {"text": "unification-based grammar parsing", "type": "Task"}], "relations": [{"head": "Graph unification", "tail": "unification-based grammar parsing", "... |
[[[7, 7], [86, 86]]] | [["We", "describe", "a", "novel", "technique", "and", "implemented", "system", "for", "constructing", "a", "subcategorization", "dictionary", "from", "textual", "corpora", "."], ["Each", "dictionary", "entry", "encodes", "the", "relative", "frequency", "of", "occurrence", "of", "a", "comprehensive", "set", "of", "subca... | [[[7, 7, "Generic"], [11, 12, "OtherScientificTerm"], [14, 15, "Material"]], [[22, 25, "OtherScientificTerm"]], [], [[81, 82, "OtherScientificTerm"], [86, 86, "Generic"], [89, 89, "Metric"], [92, 92, "Method"]]] | [[[7, 7, 11, 12, "USED-FOR"], [14, 15, 7, 7, "USED-FOR"]], [], [], [[86, 86, 81, 82, "USED-FOR"], [89, 89, 92, 92, "EVALUATE-FOR"], [92, 92, 81, 82, "EVALUATE-FOR"]]] | A97-1052 | train | [{"sentence": "We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora .", "entities": [{"text": "system", "type": "Generic"}, {"text": "subcategorization dictionary", "type": "OtherScientificTerm"}, {"text": "textual corpora", "type": "Material"}], "rel... |
[[[122, 124], [175, 176], [185, 185]], [[26, 28], [76, 76]], [[49, 51], [55, 55], [65, 65]], [[112, 115], [127, 127]]] | [["The", "introduction", "of", "prior", "knowledge", "has", "greatly", "enhanced", "numerous", "purely", "low-level", "driven", "image", "processing", "algorithms", "."], ["In", "this", "work", ",", "we", "focus", "on", "the", "problem", "of", "non-rigid", "image", "registration", "."], ["A", "number", "of", "powerful"... | [[[3, 4, "OtherScientificTerm"], [10, 14, "Method"]], [[26, 28, "Task"]], [[34, 35, "Metric"], [49, 51, "Metric"]], [[55, 55, "Generic"], [65, 65, "Generic"], [69, 70, "Metric"]], [[76, 76, "Task"], [82, 83, "OtherScientificTerm"], [89, 89, "OtherScientificTerm"], [91, 92, "OtherScientificTerm"], [94, 96, "OtherScienti... | [[], [], [[49, 51, 34, 35, "HYPONYM-OF"]], [[69, 70, 65, 65, "FEATURE-OF"]], [], [[106, 107, 122, 124, "USED-FOR"], [112, 115, 122, 124, "USED-FOR"], [118, 120, 112, 115, "FEATURE-OF"]], [[132, 134, 127, 127, "USED-FOR"], [132, 134, 139, 141, "USED-FOR"], [148, 150, 139, 141, "USED-FOR"]], [], [[175, 176, 181, 183, "US... | CVPR_2006_21_abs | train | [{"sentence": "The introduction of prior knowledge has greatly enhanced numerous purely low-level driven image processing algorithms .", "entities": [{"text": "prior knowledge", "type": "OtherScientificTerm"}, {"text": "low-level driven image processing algorithms", "type": "Method"}], "relations": []}, {"sentence": "I... |
[[[73, 74], [125, 125]]] | [["There", "is", "an", "increased", "interest", "in", "the", "efficient", "creation", "of", "city", "models", ",", "be", "it", "virtual", "or", "as-built", "."], ["We", "present", "a", "method", "for", "synthesizing", "complex", ",", "photo-realistic", "facade", "images", ",", "from", "a", "single", "example", "."], ["... | [[[8, 11, "Task"]], [[22, 22, "Generic"], [24, 29, "Task"]], [[43, 44, "Method"], [47, 47, "OtherScientificTerm"]], [[54, 54, "OtherScientificTerm"], [61, 62, "OtherScientificTerm"], [68, 70, "OtherScientificTerm"]], [[73, 74, "Generic"], [78, 78, "OtherScientificTerm"], [82, 83, "OtherScientificTerm"]], [[106, 108, "G... | [[], [[22, 22, 24, 29, "USED-FOR"]], [[47, 47, 43, 44, "USED-FOR"]], [[68, 70, 61, 62, "FEATURE-OF"]], [[73, 74, 78, 78, "USED-FOR"], [73, 74, 82, 83, "USED-FOR"]], [[106, 108, 125, 125, "EVALUATE-FOR"]]] | ICCV_2013_36_abs | train | [{"sentence": "There is an increased interest in the efficient creation of city models , be it virtual or as-built .", "entities": [{"text": "creation of city models", "type": "Task"}], "relations": []}, {"sentence": "We present a method for synthesizing complex , photo-realistic facade images , from a single example .... |
[[[9, 9], [11, 11], [37, 37], [81, 82], [84, 84]]] | [["We", "introduce", "a", "new", "interactive", "corpus", "exploration", "tool", "called", "InfoMagnets", "."], ["InfoMagnets", "aims", "at", "making", "exploratory", "corpus", "analysis", "accessible", "to", "researchers", "who", "are", "not", "experts", "in", "text", "mining", "."], ["As", "evidence", "of", "its", "u... | [[[4, 7, "Method"], [9, 9, "Method"]], [[11, 11, "Method"], [15, 17, "Task"], [26, 27, "Task"]], [[37, 37, "Generic"], [57, 57, "Generic"], [59, 60, "Material"], [69, 70, "Material"]], [[81, 82, "Method"], [84, 84, "Generic"], [94, 95, "Task"]]] | [[[9, 9, 4, 7, "HYPONYM-OF"]], [[11, 11, 15, 17, "USED-FOR"]], [[37, 37, 57, 57, "USED-FOR"], [59, 60, 57, 57, "HYPONYM-OF"], [59, 60, 69, 70, "CONJUNCTION"], [69, 70, 57, 57, "HYPONYM-OF"]], [[81, 82, 94, 95, "USED-FOR"]]] | N06-4001 | train | [{"sentence": "We introduce a new interactive corpus exploration tool called InfoMagnets .", "entities": [{"text": "interactive corpus exploration tool", "type": "Method"}, {"text": "InfoMagnets", "type": "Method"}], "relations": [{"head": "InfoMagnets", "tail": "interactive corpus exploration tool", "label": "HYPONYM-... |
[] | [["Sources", "of", "training", "data", "suitable", "for", "language", "modeling", "of", "conversational", "speech", "are", "limited", "."], ["In", "this", "paper", ",", "we", "show", "how", "training", "data", "can", "be", "supplemented", "with", "text", "from", "the", "web", "filtered", "to", "match", "the", "style", ... | [[[6, 7, "Method"], [9, 10, "Material"]], [[41, 42, "Task"], [60, 63, "Method"]]] | [[[9, 10, 6, 7, "USED-FOR"]], [[60, 63, 41, 42, "USED-FOR"]]] | N03-2003 | train | [{"sentence": "Sources of training data suitable for language modeling of conversational speech are limited .", "entities": [{"text": "language modeling", "type": "Method"}, {"text": "conversational speech", "type": "Material"}], "relations": [{"head": "conversational speech", "tail": "language modeling", "label": "USE... |
[[[18, 18], [36, 36], [60, 60], [86, 86]], [[3, 3], [12, 12]]] | [["We", "present", "a", "method", "for", "detecting", "3D", "objects", "using", "multi-modalities", "."], ["While", "it", "is", "generic", ",", "we", "demonstrate", "it", "on", "the", "combination", "of", "an", "image", "and", "a", "dense", "depth", "map", "which", "give", "complementary", "object", "information", "."]... | [[[3, 3, "Generic"], [5, 7, "Task"], [9, 9, "OtherScientificTerm"]], [[12, 12, "Generic"], [18, 18, "Generic"], [24, 24, "OtherScientificTerm"], [27, 29, "OtherScientificTerm"], [32, 34, "OtherScientificTerm"]], [[36, 36, "Generic"], [49, 52, "OtherScientificTerm"], [57, 58, "OtherScientificTerm"]], [[60, 60, "Generic"... | [[[3, 3, 5, 7, "USED-FOR"], [9, 9, 3, 3, "USED-FOR"]], [[12, 12, 18, 18, "USED-FOR"], [24, 24, 18, 18, "USED-FOR"], [24, 24, 27, 29, "CONJUNCTION"], [27, 29, 18, 18, "USED-FOR"], [32, 34, 27, 29, "FEATURE-OF"]], [], [[68, 68, 73, 73, "USED-FOR"], [86, 86, 89, 90, "COMPARE"], [86, 86, 92, 93, "USED-FOR"], [89, 90, 92, 9... | ICCV_2011_47_abs | train | [{"sentence": "We present a method for detecting 3D objects using multi-modalities .", "entities": [{"text": "method", "type": "Generic"}, {"text": "detecting 3D objects", "type": "Task"}, {"text": "multi-modalities", "type": "OtherScientificTerm"}], "relations": [{"head": "method", "tail": "detecting 3D objects", "lab... |
[[[1, 6], [39, 39]], [[71, 73], [90, 90]], [[103, 110], [115, 115]]] | [["The", "compact", "description", "of", "a", "video", "sequence", "through", "a", "single", "image", "map", "and", "a", "dominant", "motion", "has", "applications", "in", "several", "domains", ",", "including", "video", "browsing", "and", "retrieval", ",", "compression", ",", "mosaicing", ",", "and", "visual", "summar... | [[[1, 6, "Task"], [10, 11, "OtherScientificTerm"], [14, 15, "OtherScientificTerm"], [20, 20, "Generic"], [23, 26, "Task"], [28, 28, "Task"], [30, 30, "Task"], [33, 34, "Task"]], [[39, 39, "Generic"], [59, 59, "Generic"], [71, 73, "Method"]], [[83, 86, "OtherScientificTerm"], [85, 86, "OtherScientificTerm"], [90, 90, "G... | [[[1, 6, 20, 20, "USED-FOR"], [10, 11, 1, 6, "USED-FOR"], [10, 11, 14, 15, "CONJUNCTION"], [14, 15, 1, 6, "USED-FOR"], [23, 26, 20, 20, "HYPONYM-OF"], [23, 26, 28, 28, "CONJUNCTION"], [28, 28, 20, 20, "HYPONYM-OF"], [28, 28, 30, 30, "CONJUNCTION"], [30, 30, 20, 20, "HYPONYM-OF"], [30, 30, 33, 34, "CONJUNCTION"]], [[71,... | CVPR_1998_10_abs | train | [{"sentence": "The compact description of a video sequence through a single image map and a dominant motion has applications in several domains , including video browsing and retrieval , compression , mosaicing , and visual summarization .", "entities": [{"text": "compact description of a video sequence", "type": "Task... |
[[[60, 64], [166, 166]], [[1, 2], [50, 51], [68, 69]]] | [["In", "cross-domain", "learning", ",", "there", "is", "a", "more", "challenging", "problem", "that", "the", "domain", "divergence", "involves", "more", "than", "one", "dominant", "factors", ",", "e.g.", ",", "different", "viewpoints", ",", "various", "resolutions", "and", "changing", "illuminations", "."], ["Fortunat... | [[[1, 2, "Task"], [12, 13, "OtherScientificTerm"], [18, 19, "Generic"], [24, 24, "OtherScientificTerm"], [27, 27, "OtherScientificTerm"], [30, 30, "OtherScientificTerm"]], [[35, 36, "OtherScientificTerm"], [50, 51, "Task"]], [[60, 64, "Method"], [68, 69, "Task"]], [[76, 78, "Method"], [80, 80, "Generic"], [86, 86, "Gen... | [[[18, 19, 12, 13, "PART-OF"], [24, 24, 18, 19, "HYPONYM-OF"], [24, 24, 27, 27, "CONJUNCTION"], [27, 27, 18, 19, "HYPONYM-OF"], [27, 27, 30, 30, "CONJUNCTION"]], [[35, 36, 50, 51, "USED-FOR"]], [[60, 64, 68, 69, "USED-FOR"]], [[80, 80, 76, 78, "HYPONYM-OF"], [80, 80, 86, 86, "CONJUNCTION"], [86, 86, 76, 78, "HYPONYM-OF... | IJCAI_2016_420_abs | train | [{"sentence": "In cross-domain learning , there is a more challenging problem that the domain divergence involves more than one dominant factors , e.g. , different viewpoints , various resolutions and changing illuminations .", "entities": [{"text": "cross-domain learning", "type": "Task"}, {"text": "domain divergence"... |
[[[21, 23], [83, 84], [152, 152]], [[43, 45], [57, 57]], [[61, 63], [103, 104]]] | [["In", "this", "paper", ",", "we", "aim", "to", "automatically", "render", "aging", "faces", "in", "a", "personalized", "way", "."], ["Basically", ",", "a", "set", "of", "age-group", "specific", "dictionaries", "are", "learned", ",", "where", "the", "dictionary", "bases", "corresponding", "to", "the", "same", "index",... | [[[9, 10, "OtherScientificTerm"]], [[21, 23, "Method"], [29, 30, "OtherScientificTerm"], [43, 45, "OtherScientificTerm"], [53, 54, "Method"], [57, 57, "Generic"], [61, 63, "Task"]], [[75, 77, "Method"]], [[83, 84, "Method"], [91, 93, "OtherScientificTerm"], [96, 96, "OtherScientificTerm"], [103, 104, "Task"]], [], [[14... | [[], [[29, 30, 21, 23, "PART-OF"], [53, 54, 61, 63, "USED-FOR"], [57, 57, 53, 54, "USED-FOR"]], [], [[96, 96, 91, 93, "HYPONYM-OF"]], [], [[143, 146, 152, 152, "USED-FOR"]], [[171, 171, 174, 174, "COMPARE"], [171, 171, 178, 180, "USED-FOR"], [174, 174, 178, 180, "USED-FOR"], [193, 195, 189, 191, "USED-FOR"]]] | ICCV_2015_403_abs | train | [{"sentence": "In this paper , we aim to automatically render aging faces in a personalized way .", "entities": [{"text": "aging faces", "type": "OtherScientificTerm"}], "relations": []}, {"sentence": "Basically , a set of age-group specific dictionaries are learned , where the dictionary bases corresponding to the sam... |
[] | [["We", "propose", "a", "draft", "scheme", "of", "the", "model", "formalizing", "the", "structure", "of", "communicative", "context", "in", "dialogue", "interaction", "."], ["The", "relationships", "between", "the", "interacting", "partners", "are", "considered", "as", "system", "of", "three", "automata", "representing... | [[[7, 7, "Generic"], [10, 13, "OtherScientificTerm"], [15, 16, "Material"]], []] | [[[7, 7, 10, 13, "USED-FOR"], [15, 16, 10, 13, "FEATURE-OF"]], []] | E85-1041 | train | [{"sentence": "We propose a draft scheme of the model formalizing the structure of communicative context in dialogue interaction .", "entities": [{"text": "model", "type": "Generic"}, {"text": "structure of communicative context", "type": "OtherScientificTerm"}, {"text": "dialogue interaction", "type": "Material"}], "r... |
[[[82, 82], [108, 109]], [[56, 56], [58, 58], [75, 75], [129, 129]]] | [["Visitors", "who", "browse", "the", "web", "from", "wireless", "PDAs", ",", "cell", "phones", ",", "and", "pagers", "are", "frequently", "stymied", "by", "web", "interfaces", "optimized", "for", "desktop", "PCs", "."], ["Simply", "replacing", "graphics", "with", "text", "and", "reformatting", "tables", "does", "not",... | [[[18, 19, "Method"], [22, 23, "OtherScientificTerm"]], [[40, 42, "OtherScientificTerm"]], [[56, 56, "Generic"], [58, 58, "Method"], [63, 65, "Task"]], [[75, 75, "Method"], [82, 82, "Generic"], [84, 86, "OtherScientificTerm"], [90, 93, "Task"]], [[108, 109, "Generic"], [112, 117, "Method"], [119, 122, "Method"], [129, ... | [[[18, 19, 22, 23, "USED-FOR"]], [], [[56, 56, 63, 65, "USED-FOR"], [56, 56, 63, 65, "USED-FOR"]], [[82, 82, 75, 75, "USED-FOR"], [82, 82, 84, 86, "USED-FOR"], [82, 82, 90, 93, "USED-FOR"]], [[112, 117, 108, 109, "HYPONYM-OF"], [112, 117, 119, 122, "CONJUNCTION"], [119, 122, 108, 109, "HYPONYM-OF"]]] | IJCAI_2001_12_abs | train | [{"sentence": "Visitors who browse the web from wireless PDAs , cell phones , and pagers are frequently stymied by web interfaces optimized for desktop PCs .", "entities": [{"text": "web interfaces", "type": "Method"}, {"text": "desktop PCs", "type": "OtherScientificTerm"}], "relations": [{"head": "web interfaces", "ta... |
[[[48, 51], [121, 123]], [[22, 24], [35, 35]], [[5, 5], [84, 84]], [[108, 108], [125, 125], [142, 142]]] | [["This", "paper", "describes", "a", "particular", "approach", "to", "parsing", "that", "utilizes", "recent", "advances", "in", "unification-based", "parsing", "and", "in", "classification-based", "knowledge", "representation", "."], ["As", "unification-based", "grammatical", "frameworks", "are", "extended", "to", "han... | [[[5, 5, "Generic"], [7, 7, "Task"], [13, 14, "Task"], [17, 19, "Task"]], [[22, 24, "Method"], [32, 33, "OtherScientificTerm"], [35, 35, "Generic"], [48, 51, "Method"]], [[60, 62, "Method"], [67, 69, "OtherScientificTerm"]], [[77, 80, "OtherScientificTerm"], [84, 84, "Generic"]], [[108, 108, "Method"]], [[121, 123, "Me... | [[[5, 5, 7, 7, "USED-FOR"], [13, 14, 5, 5, "USED-FOR"], [17, 19, 5, 5, "USED-FOR"], [17, 19, 13, 14, "CONJUNCTION"]], [[22, 24, 32, 33, "USED-FOR"], [48, 51, 35, 35, "USED-FOR"]], [[60, 62, 67, 69, "USED-FOR"]], [[77, 80, 84, 84, "USED-FOR"]], [], [[121, 123, 125, 125, "USED-FOR"], [121, 123, 127, 128, "USED-FOR"], [12... | H90-1011 | train | [{"sentence": "This paper describes a particular approach to parsing that utilizes recent advances in unification-based parsing and in classification-based knowledge representation .", "entities": [{"text": "approach", "type": "Generic"}, {"text": "parsing", "type": "Task"}, {"text": "unification-based parsing", "type"... |
[[[7, 10], [28, 28], [54, 55], [76, 76], [84, 84]]] | [["In", "this", "paper", "we", "discuss", "a", "proposed", "user", "knowledge", "modeling", "architecture", "for", "the", "ICICLE", "system", ",", "a", "language", "tutoring", "application", "for", "deaf", "learners", "of", "written", "English", "."], ["The", "model", "will", "represent", "the", "language", "proficienc... | [[[7, 10, "Method"], [13, 14, "Task"], [17, 19, "Task"], [21, 22, "OtherScientificTerm"], [24, 25, "Material"]], [[28, 28, "Generic"], [45, 46, "Task"], [48, 49, "Task"]], [[54, 55, "Generic"], [61, 66, "Task"], [76, 76, "Generic"]], [[84, 84, "Generic"], [95, 99, "Task"], [102, 103, "OtherScientificTerm"], [109, 109, ... | [[[7, 10, 13, 14, "USED-FOR"], [13, 14, 17, 19, "HYPONYM-OF"], [17, 19, 21, 22, "USED-FOR"], [24, 25, 17, 19, "USED-FOR"]], [[28, 28, 45, 46, "USED-FOR"], [28, 28, 48, 49, "USED-FOR"], [45, 46, 48, 49, "CONJUNCTION"]], [[61, 66, 54, 55, "USED-FOR"]], [[84, 84, 95, 99, "USED-FOR"], [84, 84, 102, 103, "USED-FOR"], [109, ... | W99-0408 | train | [{"sentence": "In this paper we discuss a proposed user knowledge modeling architecture for the ICICLE system , a language tutoring application for deaf learners of written English .", "entities": [{"text": "user knowledge modeling architecture", "type": "Method"}, {"text": "ICICLE system", "type": "Task"}, {"text": "l... |
[[[116, 116], [132, 132], [176, 176], [196, 196]], [[122, 127], [183, 184], [219, 220]]] | [["Constraint", "propagation", "is", "one", "of", "the", "key", "techniques", "in", "constraint", "programming", ",", "and", "a", "large", "body", "of", "work", "has", "built", "up", "around", "it", "."], ["Special-purpose", "constraint", "propagation", "algorithms", "frequently", "make", "implicit", "use", "of", "shor... | [[[0, 1, "Method"], [9, 10, "Method"]], [[24, 27, "Method"]], [[83, 85, "Method"], [91, 91, "OtherScientificTerm"]], [[116, 116, "Method"], [122, 127, "Method"]], [[132, 132, "Method"], [139, 139, "Method"], [141, 141, "Method"]], [[154, 154, "OtherScientificTerm"], [158, 159, "OtherScientificTerm"], [162, 164, "OtherS... | [[[0, 1, 9, 10, "PART-OF"]], [], [], [[122, 127, 116, 116, "USED-FOR"]], [[132, 132, 139, 139, "COMPARE"], [132, 132, 141, 141, "COMPARE"], [139, 139, 141, 141, "CONJUNCTION"]], [[162, 164, 171, 173, "COMPARE"]], [], [[196, 196, 206, 207, "USED-FOR"], [196, 196, 216, 217, "USED-FOR"], [203, 203, 196, 196, "CONJUNCTION"... | IJCAI_2013_5_abs | train | [{"sentence": "Constraint propagation is one of the key techniques in constraint programming , and a large body of work has built up around it .", "entities": [{"text": "Constraint propagation", "type": "Method"}, {"text": "constraint programming", "type": "Method"}], "relations": [{"head": "Constraint propagation", "t... |
[[[3, 4], [17, 17], [47, 47]]] | [["We", "propose", "a", "detection", "method", "for", "orthographic", "variants", "caused", "by", "transliteration", "in", "a", "large", "corpus", "."], ["The", "method", "employs", "two", "similarities", "."], ["One", "is", "string", "similarity", "based", "on", "edit", "distance", "."], ["The", "other", "is", "contex... | [[[3, 4, "Method"], [6, 7, "OtherScientificTerm"], [10, 10, "Task"]], [[17, 17, "Generic"], [20, 20, "Generic"]], [[24, 25, "OtherScientificTerm"], [28, 29, "Method"]], [[34, 35, "OtherScientificTerm"], [38, 40, "Method"]], [[47, 47, "Generic"], [51, 51, "Metric"]]] | [[[3, 4, 6, 7, "USED-FOR"]], [[20, 20, 17, 17, "USED-FOR"]], [[28, 29, 24, 25, "USED-FOR"]], [[38, 40, 34, 35, "USED-FOR"]], [[51, 51, 47, 47, "EVALUATE-FOR"]]] | C04-1102 | train | [{"sentence": "We propose a detection method for orthographic variants caused by transliteration in a large corpus .", "entities": [{"text": "detection method", "type": "Method"}, {"text": "orthographic variants", "type": "OtherScientificTerm"}, {"text": "transliteration", "type": "Task"}], "relations": [{"head": "dete... |
[[[16, 25], [46, 46]], [[7, 8], [29, 29], [160, 160]], [[77, 78], [139, 139]], [[59, 61], [74, 74]]] | [["Uncertainty", "handling", "plays", "an", "important", "role", "during", "shape", "tracking", "."], ["We", "have", "recently", "shown", "that", "the", "fusion", "of", "measurement", "information", "with", "system", "dynamics", "and", "shape", "priors", "greatly", "improves", "the", "tracking", "performance", "for", "... | [[[0, 1, "Task"], [7, 8, "Task"]], [[16, 25, "Method"], [29, 29, "Task"], [33, 34, "Material"], [37, 38, "Material"]], [[46, 46, "Generic"], [48, 49, "OtherScientificTerm"], [52, 53, "Method"]], [[59, 61, "Task"], [64, 66, "Method"], [69, 71, "Method"], [74, 74, "Generic"], [77, 78, "Method"]], [[86, 88, "OtherScientif... | [[[0, 1, 7, 8, "USED-FOR"]], [[16, 25, 29, 29, "USED-FOR"], [29, 29, 33, 34, "USED-FOR"], [37, 38, 33, 34, "HYPONYM-OF"]], [[48, 49, 46, 46, "USED-FOR"], [48, 49, 52, 53, "USED-FOR"]], [[64, 66, 59, 61, "USED-FOR"], [69, 71, 64, 66, "USED-FOR"], [74, 74, 77, 78, "PART-OF"]], [], [[135, 136, 127, 129, "USED-FOR"]], [[13... | CVPR_2004_21_abs | train | [{"sentence": "Uncertainty handling plays an important role during shape tracking .", "entities": [{"text": "Uncertainty handling", "type": "Task"}, {"text": "shape tracking", "type": "Task"}], "relations": [{"head": "Uncertainty handling", "tail": "shape tracking", "label": "USED-FOR", "head_type": "Task", "tail_type"... |
[[[12, 13], [15, 15], [37, 37], [47, 47]]] | [["We", "present", "a", "syntax-based", "constraint", "for", "word", "alignment", ",", "known", "as", "the", "cohesion", "constraint", "."], ["It", "requires", "disjoint", "English", "phrases", "to", "be", "mapped", "to", "non-overlapping", "intervals", "in", "the", "French", "sentence", "."], ["We", "evaluate", "the",... | [[[3, 4, "OtherScientificTerm"], [6, 7, "Task"], [12, 13, "OtherScientificTerm"]], [[15, 15, "Generic"], [18, 19, "Material"], [28, 29, "Material"]], [[37, 37, "Generic"], [41, 41, "Generic"]], [[47, 47, "Generic"], [54, 55, "Metric"]]] | [[[3, 4, 6, 7, "USED-FOR"], [12, 13, 3, 4, "HYPONYM-OF"]], [[18, 19, 15, 15, "USED-FOR"]], [[41, 41, 37, 37, "EVALUATE-FOR"]], [[54, 55, 47, 47, "EVALUATE-FOR"]]] | N03-2017 | train | [{"sentence": "We present a syntax-based constraint for word alignment , known as the cohesion constraint .", "entities": [{"text": "syntax-based constraint", "type": "OtherScientificTerm"}, {"text": "word alignment", "type": "Task"}, {"text": "cohesion constraint", "type": "OtherScientificTerm"}], "relations": [{"head... |
[[[16, 19], [49, 50]], [[6, 10], [37, 38]]] | [["This", "paper", "considers", "the", "problem", "of", "automatic", "assessment", "of", "local", "coherence", "."], ["We", "present", "a", "novel", "entity-based", "representation", "of", "discourse", "which", "is", "inspired", "by", "Centering", "Theory", "and", "can", "be", "computed", "automatically", "from", "raw"... | [[[6, 10, "Task"]], [[16, 19, "Method"], [24, 25, "Method"], [32, 33, "Material"]], [[37, 38, "Task"], [41, 43, "Task"], [49, 50, "Method"], [57, 58, "OtherScientificTerm"]], [[65, 66, "Method"], [70, 70, "Metric"], [74, 75, "Method"]]] | [[], [[24, 25, 16, 19, "USED-FOR"], [32, 33, 16, 19, "USED-FOR"]], [[41, 43, 37, 38, "USED-FOR"], [49, 50, 57, 58, "USED-FOR"]], [[65, 66, 74, 75, "COMPARE"], [70, 70, 65, 66, "EVALUATE-FOR"], [70, 70, 74, 75, "EVALUATE-FOR"]]] | P05-1018 | train | [{"sentence": "This paper considers the problem of automatic assessment of local coherence .", "entities": [{"text": "automatic assessment of local coherence", "type": "Task"}], "relations": []}, {"sentence": "We present a novel entity-based representation of discourse which is inspired by Centering Theory and can be c... |
[[[4, 6], [19, 19], [88, 88], [130, 130]], [[21, 21], [40, 40]]] | [["This", "paper", "introduces", "a", "robust", "interactive", "method", "for", "speech", "understanding", "."], ["The", "generalized", "LR", "parsing", "is", "enhanced", "in", "this", "approach", "."], ["Parsing", "proceeds", "from", "left", "to", "right", "correcting", "minor", "errors", "."], ["When", "a", "very", "... | [[[4, 6, "Generic"], [8, 9, "Task"]], [[12, 14, "Method"], [19, 19, "Generic"]], [[21, 21, "Method"]], [[40, 40, "Method"], [47, 48, "OtherScientificTerm"]], [], [], [[88, 88, "Generic"], [94, 95, "OtherScientificTerm"]], [], [[130, 130, "Generic"]]] | [[[4, 6, 8, 9, "USED-FOR"]], [[19, 19, 12, 14, "USED-FOR"]], [], [[47, 48, 40, 40, "USED-FOR"]], [], [], [[88, 88, 94, 95, "USED-FOR"]], [], []] | C92-3165 | train | [{"sentence": "This paper introduces a robust interactive method for speech understanding .", "entities": [{"text": "robust interactive method", "type": "Generic"}, {"text": "speech understanding", "type": "Task"}], "relations": [{"head": "robust interactive method", "tail": "speech understanding", "label": "USED-FOR",... |
[] | [["This", "paper", "shows", "that", "it", "is", "very", "often", "possible", "to", "identify", "the", "source", "language", "of", "medium-length", "speeches", "in", "the", "EUROPARL", "corpus", "on", "the", "basis", "of", "frequency", "counts", "of", "word", "n-grams", "-LRB-", "87.2", "%", "-96.7", "%", "accuracy", "d... | [[[15, 16, "Material"], [19, 20, "Material"], [25, 29, "Method"], [28, 29, "OtherScientificTerm"], [35, 35, "Metric"], [38, 39, "Method"]], [[49, 50, "OtherScientificTerm"]]] | [[[15, 16, 19, 20, "PART-OF"], [35, 35, 38, 39, "EVALUATE-FOR"]], []] | C08-1118 | train | [{"sentence": "This paper shows that it is very often possible to identify the source language of medium-length speeches in the EUROPARL corpus on the basis of frequency counts of word n-grams -LRB- 87.2 % -96.7 % accuracy depending on classification method -RRB- .", "entities": [{"text": "medium-length speeches", "typ... |
[[[3, 8], [71, 71]], [[60, 60], [84, 84]], [[24, 25], [55, 56]], [[11, 14], [74, 74]]] | [["We", "investigated", "whether", "automatic", "phonetic", "transcriptions", "-LRB-", "APTs", "-RRB-", "can", "replace", "manually", "verified", "phonetic", "transcriptions", "-LRB-", "MPTs", "-RRB-", "in", "a", "large", "corpus-based", "study", "on", "pronunciation", "variation", "."], ["To", "this", "end", ",", "we"... | [[[3, 8, "OtherScientificTerm"], [11, 14, "OtherScientificTerm"], [24, 25, "Task"]], [[41, 41, "Task"], [55, 56, "Task"]], [[60, 60, "Method"], [63, 64, "Material"], [68, 68, "OtherScientificTerm"], [71, 71, "OtherScientificTerm"], [74, 74, "OtherScientificTerm"], [77, 78, "OtherScientificTerm"]], [[84, 84, "Material"]... | [[[3, 8, 11, 14, "COMPARE"], [3, 8, 24, 25, "USED-FOR"], [11, 14, 24, 25, "USED-FOR"]], [], [[63, 64, 60, 60, "USED-FOR"], [68, 68, 63, 64, "USED-FOR"], [68, 68, 71, 71, "USED-FOR"], [68, 68, 74, 74, "USED-FOR"], [71, 71, 74, 74, "CONJUNCTION"], [77, 78, 68, 68, "USED-FOR"]], [[84, 84, 91, 92, "USED-FOR"], [91, 92, 94,... | INTERSPEECH_2006_28_abs | train | [{"sentence": "We investigated whether automatic phonetic transcriptions -LRB- APTs -RRB- can replace manually verified phonetic transcriptions -LRB- MPTs -RRB- in a large corpus-based study on pronunciation variation .", "entities": [{"text": "automatic phonetic transcriptions -LRB- APTs -RRB-", "type": "OtherScientif... |
[[[0, 1], [6, 6], [27, 27]], [[52, 54], [103, 103], [130, 130]]] | [["Machine", "reading", "is", "a", "relatively", "new", "field", "that", "features", "computer", "programs", "designed", "to", "read", "flowing", "text", "and", "extract", "fact", "assertions", "expressed", "by", "the", "narrative", "content", "."], ["This", "task", "involves", "two", "core", "technologies", ":", "natu... | [[[0, 1, "Task"], [6, 6, "Generic"], [9, 10, "Method"], [14, 15, "Material"], [18, 19, "OtherScientificTerm"], [23, 24, "Material"]], [[27, 27, "Generic"], [33, 38, "Method"], [40, 44, "Task"]], [[52, 54, "Task"], [61, 62, "Method"]], [[84, 85, "OtherScientificTerm"], [87, 88, "Method"], [93, 94, "Task"], [96, 97, "Tas... | [[[9, 10, 14, 15, "USED-FOR"], [9, 10, 18, 19, "USED-FOR"], [18, 19, 23, 24, "FEATURE-OF"]], [[33, 38, 27, 27, "PART-OF"], [40, 44, 27, 27, "PART-OF"]], [[61, 62, 52, 54, "FEATURE-OF"]], [[84, 85, 87, 88, "CONJUNCTION"], [93, 94, 96, 97, "CONJUNCTION"]], [[103, 103, 114, 115, "USED-FOR"], [118, 120, 114, 115, "FEATURE-... | AAAI_2015_10_abs | train | [{"sentence": "Machine reading is a relatively new field that features computer programs designed to read flowing text and extract fact assertions expressed by the narrative content .", "entities": [{"text": "Machine reading", "type": "Task"}, {"text": "field", "type": "Generic"}, {"text": "computer programs", "type": ... |
[] | [["Nonstationary", "chaotic", "behavior", "is", "not", "an", "oxymoron", "."], ["We", "present", "two", "methods", "for", "capturing", "nonstationary", "chaos", ",", "then", "present", "a", "few", "examples", "including", "biological", "signals", ",", "ocean", "waves", "and", "traffic", "flow", "."], ["The", "issue", "... | [[[0, 2, "OtherScientificTerm"], [6, 6, "OtherScientificTerm"]], [[11, 11, "Generic"], [14, 15, "OtherScientificTerm"], [21, 21, "Generic"], [23, 24, "Material"], [26, 27, "Material"], [29, 30, "Material"]], [[46, 47, "OtherScientificTerm"]]] | [[], [[11, 11, 14, 15, "USED-FOR"], [23, 24, 21, 21, "HYPONYM-OF"], [23, 24, 26, 27, "CONJUNCTION"], [26, 27, 21, 21, "HYPONYM-OF"], [26, 27, 29, 30, "CONJUNCTION"], [29, 30, 21, 21, "HYPONYM-OF"]], []] | ICASSP_1997_707_abs | train | [{"sentence": "Nonstationary chaotic behavior is not an oxymoron .", "entities": [{"text": "Nonstationary chaotic behavior", "type": "OtherScientificTerm"}, {"text": "oxymoron", "type": "OtherScientificTerm"}], "relations": []}, {"sentence": "We present two methods for capturing nonstationary chaos , then present a few... |
[[[4, 5], [75, 76], [92, 92]], [[13, 14], [32, 32], [54, 54]], [[45, 48], [63, 64], [82, 83]]] | [["This", "paper", "presents", "a", "formal", "analysis", "for", "a", "large", "class", "of", "words", "called", "alternative", "markers", ",", "which", "includes", "other", "-LRB-", "than", "-RRB-", ",", "such", "-LRB-", "as", "-RRB-", ",", "and", "besides", "."], ["These", "words", "appear", "frequently", "enough", "... | [[[4, 5, "Method"], [13, 14, "OtherScientificTerm"]], [[32, 32, "Generic"], [37, 37, "OtherScientificTerm"], [45, 48, "Method"], [54, 54, "Generic"]], [[63, 64, "Method"], [72, 76, "Method"], [75, 76, "Method"], [82, 83, "Method"], [85, 86, "OtherScientificTerm"]], [[92, 92, "Generic"], [97, 98, "OtherScientificTerm"],... | [[[4, 5, 13, 14, "USED-FOR"]], [[32, 32, 37, 37, "PART-OF"]], [[72, 76, 63, 64, "PART-OF"], [85, 86, 82, 83, "PART-OF"]], [[97, 98, 100, 102, "PART-OF"]]] | P01-1009 | train | [{"sentence": "This paper presents a formal analysis for a large class of words called alternative markers , which includes other -LRB- than -RRB- , such -LRB- as -RRB- , and besides .", "entities": [{"text": "formal analysis", "type": "Method"}, {"text": "alternative markers", "type": "OtherScientificTerm"}], "relatio... |
[[[95, 96], [115, 118]], [[128, 128], [146, 146]], [[150, 150], [162, 162]]] | [["In", "this", "paper", ",", "we", "address", "the", "problem", "of", "combining", "several", "language", "models", "-LRB-", "LMs", "-RRB-", "."], ["We", "find", "that", "simple", "interpolation", "methods", ",", "like", "log-linear", "and", "linear", "interpolation", ",", "improve", "the", "performance", "but", "fall... | [[[11, 15, "Method"]], [[21, 22, "Method"], [25, 28, "Method"]], [[62, 66, "Metric"], [86, 86, "Method"]], [[95, 96, "Method"], [98, 99, "OtherScientificTerm"]], [[115, 118, "Method"]], [[128, 128, "Generic"], [138, 139, "Method"], [142, 143, "Method"]], [[146, 146, "Generic"], [150, 150, "Method"], [152, 153, "Metric"... | [[], [[25, 28, 21, 22, "HYPONYM-OF"]], [], [[98, 99, 95, 96, "FEATURE-OF"]], [], [[138, 139, 128, 128, "USED-FOR"], [142, 143, 128, 128, "USED-FOR"], [142, 143, 138, 139, "CONJUNCTION"]], [[146, 146, 150, 150, "USED-FOR"], [152, 153, 146, 146, "USED-FOR"]]] | H01-1058 | train | [{"sentence": "In this paper , we address the problem of combining several language models -LRB- LMs -RRB- .", "entities": [{"text": "language models -LRB- LMs -RRB-", "type": "Method"}], "relations": []}, {"sentence": "We find that simple interpolation methods , like log-linear and linear interpolation , improve the p... |
[[[4, 4], [20, 22], [41, 41], [60, 60], [92, 92], [98, 98], [134, 134]]] | [["We", "describe", "a", "new", "method", "for", "the", "representation", "of", "NLP", "structures", "within", "reranking", "approaches", "."], ["We", "make", "use", "of", "a", "conditional", "log-linear", "model", ",", "with", "hidden", "variables", "representing", "the", "assignment", "of", "lexical", "items", "to", ... | [[[4, 4, "Generic"], [9, 10, "OtherScientificTerm"], [12, 13, "Method"]], [[20, 22, "Method"], [25, 26, "OtherScientificTerm"], [34, 35, "OtherScientificTerm"], [37, 38, "OtherScientificTerm"]], [[41, 41, "Generic"], [51, 53, "Metric"]], [[60, 60, "Generic"], [68, 69, "OtherScientificTerm"], [73, 73, "Generic"], [81, 8... | [[[4, 4, 9, 10, "USED-FOR"], [12, 13, 9, 10, "FEATURE-OF"]], [[25, 26, 20, 22, "USED-FOR"], [34, 35, 37, 38, "CONJUNCTION"]], [[51, 53, 41, 41, "USED-FOR"]], [[81, 82, 73, 73, "USED-FOR"]], [[92, 92, 94, 95, "USED-FOR"]], [[98, 98, 109, 110, "COMPARE"], [101, 101, 98, 98, "EVALUATE-FOR"], [109, 110, 119, 123, "COMPARE"... | H05-1064 | train | [{"sentence": "We describe a new method for the representation of NLP structures within reranking approaches .", "entities": [{"text": "method", "type": "Generic"}, {"text": "NLP structures", "type": "OtherScientificTerm"}, {"text": "reranking approaches", "type": "Method"}], "relations": [{"head": "method", "tail": "N... |
[[[4, 4], [76, 76], [106, 106], [117, 117]], [[67, 68], [93, 93]]] | [["This", "paper", "presents", "an", "algorithm", "for", "learning", "the", "time-varying", "shape", "of", "a", "non-rigid", "3D", "object", "from", "uncalibrated", "2D", "tracking", "data", "."], ["We", "model", "shape", "motion", "as", "a", "rigid", "component", "-LRB-", "rotation", "and", "translation", "-RRB-", "co... | [[[4, 4, "Generic"], [6, 14, "Task"], [16, 19, "Material"]], [[23, 24, "OtherScientificTerm"], [27, 28, "Method"], [30, 30, "OtherScientificTerm"], [32, 32, "OtherScientificTerm"], [37, 38, "OtherScientificTerm"]], [[40, 40, "OtherScientificTerm"], [44, 45, "OtherScientificTerm"]], [[57, 58, "OtherScientificTerm"], [67... | [[[4, 4, 6, 14, "USED-FOR"]], [], [], [[67, 68, 57, 58, "USED-FOR"]], [[76, 76, 79, 82, "USED-FOR"]], [[106, 106, 109, 113, "USED-FOR"], [117, 117, 123, 124, "USED-FOR"]]] | NIPS_2003_18_abs | train | [{"sentence": "This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data .", "entities": [{"text": "algorithm", "type": "Generic"}, {"text": "learning the time-varying shape of a non-rigid 3D object", "type": "Task"}, {"text": "uncalibrated 2D track... |
[[[50, 51], [144, 145], [158, 159]], [[35, 35], [152, 152]], [[71, 72], [122, 123], [166, 167]], [[0, 1], [29, 30]], [[110, 110], [132, 132]]] | [["Automatic", "summarization", "and", "information", "extraction", "are", "two", "important", "Internet", "services", "."], ["MUC", "and", "SUMMAC", "play", "their", "appropriate", "roles", "in", "the", "next", "generation", "Internet", "."], ["This", "paper", "focuses", "on", "the", "automatic", "summarization", "and... | [[[0, 1, "Task"], [3, 4, "Task"]], [[11, 11, "Material"], [13, 13, "Material"]], [[29, 30, "Task"], [35, 35, "Generic"], [40, 41, "Task"], [44, 44, "Generic"], [47, 47, "Material"]], [[50, 51, "Task"], [53, 55, "OtherScientificTerm"], [57, 59, "OtherScientificTerm"], [65, 68, "OtherScientificTerm"]], [[71, 72, "Task"],... | [[[0, 1, 3, 4, "CONJUNCTION"]], [[11, 11, 13, 13, "CONJUNCTION"]], [[35, 35, 40, 41, "USED-FOR"], [35, 35, 44, 44, "USED-FOR"], [44, 44, 47, 47, "PART-OF"]], [[53, 55, 50, 51, "USED-FOR"], [53, 55, 57, 59, "CONJUNCTION"], [53, 55, 65, 68, "USED-FOR"], [57, 59, 50, 51, "USED-FOR"], [57, 59, 65, 68, "USED-FOR"]], [[75, 7... | X98-1022 | train | [{"sentence": "Automatic summarization and information extraction are two important Internet services .", "entities": [{"text": "Automatic summarization", "type": "Task"}, {"text": "information extraction", "type": "Task"}], "relations": [{"head": "Automatic summarization", "tail": "information extraction", "label": "C... |
[[[84, 85], [168, 169]]] | [["In", "real-world", "action", "recognition", "problems", ",", "low-level", "features", "can", "not", "adequately", "characterize", "the", "rich", "spatial-temporal", "structures", "in", "action", "videos", "."], ["In", "this", "work", ",", "we", "encode", "actions", "based", "on", "attributes", "that", "describes", "... | [[[1, 4, "Task"], [6, 7, "OtherScientificTerm"], [13, 15, "OtherScientificTerm"], [17, 18, "Material"]], [[34, 35, "OtherScientificTerm"]], [[54, 55, "OtherScientificTerm"]], [[60, 61, "OtherScientificTerm"]], [[71, 72, "OtherScientificTerm"], [80, 82, "Method"]], [[84, 85, "Method"], [92, 95, "OtherScientificTerm"]], ... | [[[13, 15, 17, 18, "FEATURE-OF"]], [], [], [], [[80, 82, 71, 72, "USED-FOR"]], [], [[110, 111, 100, 104, "USED-FOR"]], [[128, 130, 119, 121, "USED-FOR"]], [], [[159, 163, 168, 169, "EVALUATE-FOR"], [168, 169, 176, 178, "USED-FOR"], [176, 178, 184, 185, "COMPARE"]]] | NIPS_2014_21_abs | train | [{"sentence": "In real-world action recognition problems , low-level features can not adequately characterize the rich spatial-temporal structures in action videos .", "entities": [{"text": "real-world action recognition problems", "type": "Task"}, {"text": "low-level features", "type": "OtherScientificTerm"}, {"text":... |
[[[29, 32], [92, 94]]] | [["This", "paper", "reports", "a", "completed", "stage", "of", "ongoing", "research", "at", "the", "University", "of", "York", "."], ["Landsbergen", "'s", "advocacy", "of", "analytical", "inverses", "for", "compositional", "syntax", "rules", "encourages", "the", "application", "of", "Definite", "Clause", "Grammar", "te... | [[], [[19, 20, "Method"], [22, 24, "OtherScientificTerm"], [29, 32, "Method"], [38, 42, "Task"]], [[45, 46, "Method"], [52, 56, "Method"], [58, 59, "OtherScientificTerm"], [67, 70, "OtherScientificTerm"], [76, 77, "OtherScientificTerm"], [80, 82, "OtherScientificTerm"]], [[87, 89, "Method"], [92, 94, "Method"]]] | [[], [[19, 20, 22, 24, "USED-FOR"], [19, 20, 29, 32, "USED-FOR"], [29, 32, 38, 42, "USED-FOR"]], [[52, 56, 45, 46, "USED-FOR"], [58, 59, 52, 56, "FEATURE-OF"], [76, 77, 67, 70, "USED-FOR"], [80, 82, 76, 77, "FEATURE-OF"]], [[87, 89, 92, 94, "CONJUNCTION"]]] | E85-1004 | train | [{"sentence": "This paper reports a completed stage of ongoing research at the University of York .", "entities": [], "relations": []}, {"sentence": "Landsbergen 's advocacy of analytical inverses for compositional syntax rules encourages the application of Definite Clause Grammar techniques to the construction of a pa... |
[[[18, 20], [33, 33], [75, 77], [105, 107]], [[4, 6], [11, 11]], [[66, 69], [72, 72], [96, 96]]] | [["Despite", "their", "success", ",", "convolutional", "neural", "networks", "are", "computationally", "expensive", "because", "they", "must", "examine", "all", "image", "locations", "."], ["Stochastic", "attention-based", "models", "have", "been", "shown", "to", "improve", "computational", "efficiency", "at", "test", ... | [[[4, 6, "Method"], [11, 11, "Generic"]], [[18, 20, "Method"], [26, 27, "Metric"], [33, 33, "Generic"], [40, 42, "Task"], [48, 50, "Task"]], [[52, 53, "Method"], [59, 61, "Method"], [66, 69, "Method"], [72, 72, "Generic"], [75, 77, "Method"], [80, 81, "Task"], [89, 90, "OtherScientificTerm"]], [[96, 96, "Generic"], [10... | [[], [[26, 27, 18, 20, "EVALUATE-FOR"], [40, 42, 48, 50, "CONJUNCTION"]], [[52, 53, 59, 61, "USED-FOR"], [72, 72, 75, 77, "USED-FOR"], [75, 77, 80, 81, "USED-FOR"]], [[102, 103, 96, 96, "EVALUATE-FOR"], [102, 103, 105, 107, "FEATURE-OF"], [112, 113, 96, 96, "EVALUATE-FOR"], [112, 113, 115, 116, "CONJUNCTION"], [115, 11... | NIPS_2015_21_abs | train | [{"sentence": "Despite their success , convolutional neural networks are computationally expensive because they must examine all image locations .", "entities": [{"text": "convolutional neural networks", "type": "Method"}, {"text": "they", "type": "Generic"}], "relations": []}, {"sentence": "Stochastic attention-based ... |
[[[34, 37], [48, 48]], [[64, 64], [87, 87], [112, 112], [132, 132]], [[67, 71], [99, 99]]] | [["A", "new", "exemplar-based", "framework", "unifying", "image", "completion", ",", "texture", "synthesis", "and", "image", "inpainting", "is", "presented", "in", "this", "work", "."], ["Contrary", "to", "existing", "greedy", "techniques", ",", "these", "tasks", "are", "posed", "in", "the", "form", "of", "a", "discret... | [[[2, 3, "Method"], [5, 6, "Task"], [8, 9, "Task"], [11, 12, "Task"]], [[22, 23, "Method"], [26, 26, "Generic"], [34, 37, "Task"], [40, 43, "OtherScientificTerm"]], [[48, 48, "Generic"], [51, 52, "Method"], [55, 55, "Method"], [64, 64, "Generic"], [67, 71, "Method"], [74, 76, "Method"], [80, 82, "Method"]], [[87, 87, "... | [[[2, 3, 5, 6, "USED-FOR"], [2, 3, 8, 9, "USED-FOR"], [2, 3, 11, 12, "USED-FOR"], [5, 6, 8, 9, "CONJUNCTION"], [8, 9, 11, 12, "CONJUNCTION"]], [[22, 23, 26, 26, "COMPARE"], [34, 37, 26, 26, "FEATURE-OF"], [40, 43, 34, 37, "FEATURE-OF"]], [[51, 52, 48, 48, "USED-FOR"], [55, 55, 51, 52, "HYPONYM-OF"], [64, 64, 51, 52, "P... | CVPR_2006_18_abs | train | [{"sentence": "A new exemplar-based framework unifying image completion , texture synthesis and image inpainting is presented in this work .", "entities": [{"text": "exemplar-based framework", "type": "Method"}, {"text": "image completion", "type": "Task"}, {"text": "texture synthesis", "type": "Task"}, {"text": "image... |
[[[86, 87], [119, 120]]] | [["In", "this", "paper", ",", "we", "compare", "the", "relative", "effects", "of", "segment", "order", ",", "segmentation", "and", "segment", "contiguity", "on", "the", "retrieval", "performance", "of", "a", "translation", "memory", "system", "."], ["We", "take", "a", "selection", "of", "both", "bag-of-words", "and", "... | [[[10, 11, "OtherScientificTerm"], [13, 13, "OtherScientificTerm"], [15, 16, "OtherScientificTerm"], [19, 19, "Task"], [23, 25, "Method"]], [[33, 39, "Method"], [46, 50, "Material"], [58, 61, "Method"], [67, 67, "Method"]], [[78, 78, "Task"], [82, 83, "Method"], [86, 87, "Metric"], [94, 96, "Method"]], [[105, 106, "Met... | [[[10, 11, 13, 13, "CONJUNCTION"], [10, 11, 23, 25, "USED-FOR"], [13, 13, 15, 16, "CONJUNCTION"], [13, 13, 23, 25, "USED-FOR"], [15, 16, 23, 25, "USED-FOR"], [19, 19, 23, 25, "EVALUATE-FOR"]], [[46, 50, 33, 39, "USED-FOR"], [58, 61, 33, 39, "CONJUNCTION"], [67, 67, 58, 61, "FEATURE-OF"]], [[82, 83, 78, 78, "USED-FOR"],... | P01-1004 | train | [{"sentence": "In this paper , we compare the relative effects of segment order , segmentation and segment contiguity on the retrieval performance of a translation memory system .", "entities": [{"text": "segment order", "type": "OtherScientificTerm"}, {"text": "segmentation", "type": "OtherScientificTerm"}, {"text": "... |
[[[48, 49], [83, 83], [108, 110]]] | [["In", "this", "paper", "we", "show", "how", "two", "standard", "outputs", "from", "information", "extraction", "-LRB-", "IE", "-RRB-", "systems", "-", "named", "entity", "annotations", "and", "scenario", "templates", "-", "can", "be", "used", "to", "enhance", "access", "to", "text", "collections", "via", "a", "standa... | [[[8, 8, "Generic"], [10, 15, "Method"], [17, 19, "OtherScientificTerm"], [21, 22, "OtherScientificTerm"], [31, 32, "Material"], [36, 37, "Method"]], [[48, 49, "Generic"], [59, 61, "Material"]], [[78, 80, "Metric"], [83, 83, "Generic"], [108, 110, "Method"]]] | [[[8, 8, 31, 32, "USED-FOR"], [17, 19, 8, 8, "HYPONYM-OF"], [17, 19, 21, 22, "CONJUNCTION"], [21, 22, 8, 8, "HYPONYM-OF"], [36, 37, 31, 32, "USED-FOR"]], [[48, 49, 59, 61, "USED-FOR"]], [[78, 80, 83, 83, "EVALUATE-FOR"]]] | H01-1040 | train | [{"sentence": "In this paper we show how two standard outputs from information extraction -LRB- IE -RRB- systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser .", "entities": [{"text": "outputs", "type": "Generic"}, {"text": "informatio... |
[[[57, 58], [187, 187]], [[4, 7], [42, 42], [61, 61], [105, 105], [176, 176]], [[73, 74], [82, 82]]] | [["We", "present", "a", "new", "model-based", "bundle", "adjustment", "algorithm", "to", "recover", "the", "3D", "model", "of", "a", "scene/object", "from", "a", "sequence", "of", "images", "with", "unknown", "motions", "."], ["Instead", "of", "representing", "scene/object", "by", "a", "collection", "of", "isolated", "... | [[[4, 7, "Method"], [11, 12, "Method"], [20, 20, "Material"], [22, 23, "OtherScientificTerm"]], [[33, 35, "OtherScientificTerm"], [42, 42, "Generic"], [45, 45, "OtherScientificTerm"]], [[57, 58, "Generic"], [61, 61, "Generic"]], [[73, 74, "OtherScientificTerm"], [77, 77, "OtherScientificTerm"], [82, 82, "Generic"], [85... | [[[4, 7, 11, 12, "USED-FOR"], [20, 20, 11, 12, "USED-FOR"], [22, 23, 20, 20, "PART-OF"]], [[45, 45, 42, 42, "USED-FOR"]], [[57, 58, 61, 61, "COMPARE"]], [[73, 74, 77, 77, "USED-FOR"], [77, 77, 85, 86, "COMPARE"], [82, 82, 85, 86, "USED-FOR"]], [], [[141, 142, 131, 132, "USED-FOR"], [141, 142, 150, 151, "USED-FOR"], [14... | ICCV_2001_50_abs | train | [{"sentence": "We present a new model-based bundle adjustment algorithm to recover the 3D model of a scene/object from a sequence of images with unknown motions .", "entities": [{"text": "model-based bundle adjustment algorithm", "type": "Method"}, {"text": "3D model", "type": "Method"}, {"text": "images", "type": "Mat... |
[[[4, 4], [23, 23], [83, 84], [94, 94]]] | [["This", "paper", "presents", "an", "approach", "to", "the", "unsupervised", "learning", "of", "parts", "of", "speech", "which", "uses", "both", "morphological", "and", "syntactic", "information", "."], ["While", "the", "model", "is", "more", "complex", "than", "those", "which", "have", "been", "employed", "for", "uns... | [[[4, 4, "Generic"], [7, 12, "Task"], [16, 19, "OtherScientificTerm"]], [[23, 23, "Generic"], [28, 28, "Generic"], [34, 40, "Task"], [45, 46, "OtherScientificTerm"], [59, 59, "OtherScientificTerm"]], [[67, 67, "OtherScientificTerm"], [77, 78, "OtherScientificTerm"]], [[83, 84, "Generic"], [86, 87, "Task"], [94, 94, "Ge... | [[[4, 4, 7, 12, "USED-FOR"], [16, 19, 4, 4, "USED-FOR"]], [[23, 23, 28, 28, "COMPARE"], [28, 28, 34, 40, "USED-FOR"], [45, 46, 28, 28, "USED-FOR"]], [[67, 67, 77, 78, "COMPARE"]], [[83, 84, 86, 87, "USED-FOR"], [96, 96, 94, 94, "USED-FOR"], [96, 96, 99, 100, "HYPONYM-OF"], [103, 105, 96, 96, "FEATURE-OF"], [103, 105, 1... | W03-2907 | train | [{"sentence": "This paper presents an approach to the unsupervised learning of parts of speech which uses both morphological and syntactic information .", "entities": [{"text": "approach", "type": "Generic"}, {"text": "unsupervised learning of parts of speech", "type": "Task"}, {"text": "morphological and syntactic inf... |
[[[62, 67], [87, 87]], [[35, 37], [50, 51]], [[17, 22], [25, 25], [57, 57], [81, 81]]] | [["Words", "in", "Chinese", "text", "are", "not", "naturally", "separated", "by", "delimiters", ",", "which", "poses", "a", "challenge", "to", "standard", "machine", "translation", "-LRB-", "MT", "-RRB-", "systems", "."], ["In", "MT", ",", "the", "widely", "used", "approach", "is", "to", "apply", "a", "Chinese", "word"... | [[[2, 3, "Material"], [17, 22, "Task"]], [[25, 25, "Task"], [35, 37, "Method"], [40, 42, "Material"]], [[50, 51, "Method"], [57, 57, "Task"]], [[62, 67, "Method"], [71, 74, "OtherScientificTerm"], [78, 78, "Task"], [81, 81, "Task"]], [[87, 87, "Generic"], [91, 92, "Method"]]] | [[], [[35, 37, 25, 25, "USED-FOR"], [40, 42, 35, 37, "USED-FOR"]], [[50, 51, 57, 57, "USED-FOR"]], [[62, 67, 78, 78, "USED-FOR"], [71, 74, 62, 67, "USED-FOR"], [78, 78, 81, 81, "USED-FOR"]], [[87, 87, 91, 92, "COMPARE"]]] | C08-1128 | train | [{"sentence": "Words in Chinese text are not naturally separated by delimiters , which poses a challenge to standard machine translation -LRB- MT -RRB- systems .", "entities": [{"text": "Chinese text", "type": "Material"}, {"text": "machine translation -LRB- MT -RRB- systems", "type": "Task"}], "relations": []}, {"sent... |
[[[60, 61], [77, 78]], [[7, 7], [12, 15], [67, 67]], [[43, 44], [91, 92]]] | [["In", "this", "paper", "we", "compare", "two", "competing", "approaches", "to", "part-of-speech", "tagging", ",", "statistical", "and", "constraint-based", "disambiguation", ",", "using", "French", "as", "our", "test", "language", "."], ["We", "imposed", "a", "time", "limit", "on", "our", "experiment", ":", "the", "a... | [[[7, 7, "Generic"], [9, 10, "Task"], [12, 15, "Task"], [18, 18, "Material"]], [[43, 44, "Generic"], [60, 61, "Method"]], [[67, 67, "Generic"]], [[74, 74, "Metric"], [77, 78, "Method"], [85, 85, "Method"], [87, 87, "Material"]], [[91, 92, "Method"]]] | [[[7, 7, 9, 10, "USED-FOR"], [18, 18, 7, 7, "USED-FOR"]], [[43, 44, 60, 61, "COMPARE"]], [], [[74, 74, 77, 78, "EVALUATE-FOR"], [74, 74, 85, 85, "EVALUATE-FOR"], [77, 78, 85, 85, "COMPARE"], [85, 85, 87, 87, "USED-FOR"]], []] | E95-1021 | train | [{"sentence": "In this paper we compare two competing approaches to part-of-speech tagging , statistical and constraint-based disambiguation , using French as our test language .", "entities": [{"text": "approaches", "type": "Generic"}, {"text": "part-of-speech tagging", "type": "Task"}, {"text": "statistical and const... |
[[[38, 39], [41, 42]], [[25, 27], [69, 69]]] | [["Structured-light", "methods", "actively", "generate", "geometric", "correspondence", "data", "between", "projectors", "and", "cameras", "in", "order", "to", "facilitate", "robust", "3D", "reconstruction", "."], ["In", "this", "paper", ",", "we", "present", "Photogeometric", "Structured", "Light", "whereby", "a", "st... | [[[0, 1, "Method"], [4, 6, "Material"], [15, 17, "Task"]], [[25, 27, "Method"], [31, 33, "Method"], [38, 39, "Method"]], [[41, 42, "Method"], [52, 54, "OtherScientificTerm"], [59, 60, "OtherScientificTerm"]], [[69, 69, "Generic"], [72, 73, "Method"], [90, 92, "Method"], [97, 100, "Material"]]] | [[[0, 1, 4, 6, "USED-FOR"], [4, 6, 15, 17, "USED-FOR"]], [[31, 33, 25, 27, "PART-OF"], [38, 39, 25, 27, "PART-OF"]], [[41, 42, 52, 54, "USED-FOR"], [41, 42, 59, 60, "USED-FOR"]], [[72, 73, 69, 69, "USED-FOR"], [97, 100, 90, 92, "USED-FOR"]]] | CVPR_2008_100_abs | train | [{"sentence": "Structured-light methods actively generate geometric correspondence data between projectors and cameras in order to facilitate robust 3D reconstruction .", "entities": [{"text": "Structured-light methods", "type": "Method"}, {"text": "geometric correspondence data", "type": "Material"}, {"text": "robust ... |
[[[9, 11], [68, 68], [87, 87], [147, 147]], [[20, 22], [133, 134]]] | [["In", "this", "paper", ",", "a", "discrimination", "and", "robustness", "oriented", "adaptive", "learning", "procedure", "is", "proposed", "to", "deal", "with", "the", "task", "of", "syntactic", "ambiguity", "resolution", "."], ["Owing", "to", "the", "problem", "of", "insufficient", "training", "data", "and", "approx... | [[[9, 11, "Method"], [20, 22, "Task"]], [[29, 31, "OtherScientificTerm"], [33, 34, "OtherScientificTerm"], [38, 39, "Method"], [42, 43, "Method"], [47, 47, "OtherScientificTerm"], [53, 55, "Method"]], [[68, 68, "Generic"], [71, 71, "Generic"]], [[87, 87, "Generic"], [109, 110, "OtherScientificTerm"]], [], [[130, 131, "... | [[[9, 11, 20, 22, "USED-FOR"]], [[29, 31, 33, 34, "CONJUNCTION"], [42, 43, 47, 47, "USED-FOR"], [53, 55, 42, 43, "USED-FOR"]], [], [], [], [[130, 131, 133, 134, "EVALUATE-FOR"], [133, 134, 147, 147, "EVALUATE-FOR"]]] | C92-1055 | train | [{"sentence": "In this paper , a discrimination and robustness oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution .", "entities": [{"text": "adaptive learning procedure", "type": "Method"}, {"text": "syntactic ambiguity resolution", "type": "Task"}], "relations": [{... |
[[[5, 5], [36, 36], [50, 50]]] | [["This", "paper", "presents", "a", "new", "approach", "to", "statistical", "sentence", "generation", "in", "which", "alternative", "phrases", "are", "represented", "as", "packed", "sets", "of", "trees", ",", "or", "forests", ",", "and", "then", "ranked", "statistically", "to", "choose", "the", "best", "one", "."], ["T... | [[[5, 5, "Generic"], [7, 9, "Task"], [20, 20, "OtherScientificTerm"], [23, 23, "OtherScientificTerm"]], [[36, 36, "Generic"], [47, 48, "OtherScientificTerm"]], [[50, 50, "Generic"], [55, 56, "Method"], [60, 60, "Generic"], [62, 63, "Task"]], [[67, 68, "Method"], [81, 81, "Method"], [84, 85, "Method"]]] | [[[5, 5, 7, 9, "USED-FOR"]], [], [[50, 50, 55, 56, "USED-FOR"], [50, 50, 60, 60, "COMPARE"], [60, 60, 62, 63, "USED-FOR"]], [[67, 68, 81, 81, "COMPARE"], [67, 68, 84, 85, "COMPARE"], [81, 81, 84, 85, "CONJUNCTION"]]] | A00-2023 | train | [{"sentence": "This paper presents a new approach to statistical sentence generation in which alternative phrases are represented as packed sets of trees , or forests , and then ranked statistically to choose the best one .", "entities": [{"text": "approach", "type": "Generic"}, {"text": "statistical sentence generatio... |
[[[7, 8], [30, 30], [48, 48], [59, 59]], [[21, 27], [53, 53], [61, 61], [138, 138]], [[14, 18], [92, 92]], [[114, 115], [117, 117], [124, 124]]] | [["This", "article", "deals", "with", "the", "interpretation", "of", "conceptual", "operations", "underlying", "the", "communicative", "use", "of", "natural", "language", "-LRB-", "NL", "-RRB-", "within", "the", "Structured", "Inheritance", "Network", "-LRB-", "SI-Nets", "-RRB-", "paradigm", "."], ["The", "operations",... | [[[7, 8, "Task"], [14, 18, "Material"], [21, 27, "Method"]], [[30, 30, "Generic"], [37, 38, "OtherScientificTerm"], [48, 48, "Generic"], [53, 53, "Method"]], [[59, 59, "Generic"], [61, 61, "Method"], [68, 69, "OtherScientificTerm"], [89, 90, "Method"], [92, 92, "Material"]], [[104, 104, "Method"], [108, 109, "OtherScie... | [[[14, 18, 21, 27, "USED-FOR"]], [[48, 48, 53, 53, "USED-FOR"]], [[59, 59, 61, 61, "USED-FOR"], [92, 92, 89, 90, "USED-FOR"]], [[104, 104, 117, 117, "COMPARE"], [108, 109, 104, 104, "FEATURE-OF"], [121, 122, 117, 117, "FEATURE-OF"]], []] | E83-1021 | train | [{"sentence": "This article deals with the interpretation of conceptual operations underlying the communicative use of natural language -LRB- NL -RRB- within the Structured Inheritance Network -LRB- SI-Nets -RRB- paradigm .", "entities": [{"text": "conceptual operations", "type": "Task"}, {"text": "natural language -LR... |
[[[3, 3], [53, 53], [68, 68], [80, 80], [91, 91]]] | [["We", "present", "an", "algorithm", "for", "calibrated", "camera", "relative", "pose", "estimation", "from", "lines", "."], ["Given", "three", "lines", "with", "two", "of", "the", "lines", "parallel", "and", "orthogonal", "to", "the", "third", "we", "can", "compute", "the", "relative", "rotation", "between", "two", "... | [[[3, 3, "Generic"], [5, 9, "Task"]], [[31, 32, "OtherScientificTerm"]], [[42, 43, "OtherScientificTerm"]], [[53, 53, "Generic"]], [[68, 68, "Generic"], [70, 73, "Material"]], [[80, 80, "Generic"], [84, 85, "Method"], [88, 88, "Method"]], [[91, 91, "Generic"], [95, 98, "OtherScientificTerm"]]] | [[[3, 3, 5, 9, "USED-FOR"]], [], [], [], [[70, 73, 68, 68, "USED-FOR"]], [[80, 80, 84, 85, "CONJUNCTION"], [88, 88, 84, 85, "HYPONYM-OF"]], [[91, 91, 95, 98, "USED-FOR"]]] | CVPR_2011_300_abs | train | [{"sentence": "We present an algorithm for calibrated camera relative pose estimation from lines .", "entities": [{"text": "algorithm", "type": "Generic"}, {"text": "calibrated camera relative pose estimation", "type": "Task"}], "relations": [{"head": "algorithm", "tail": "calibrated camera relative pose estimation", "... |
[[[7, 10], [26, 26], [78, 79], [108, 109]]] | [["In", "this", "paper", ",", "we", "present", "a", "fully", "automated", "extraction", "system", ",", "named", "IntEx", ",", "to", "identify", "gene", "and", "protein", "interactions", "in", "biomedical", "text", "."], ["Our", "approach", "is", "based", "on", "first", "splitting", "complex", "sentences", "into", "simp... | [[[7, 10, "Method"], [13, 13, "Method"], [17, 20, "Task"], [22, 23, "Material"]], [[26, 26, "Generic"], [41, 42, "OtherScientificTerm"]], [[47, 48, "OtherScientificTerm"], [53, 56, "OtherScientificTerm"]], [[69, 70, "OtherScientificTerm"]], [[78, 79, "Method"], [85, 88, "OtherScientificTerm"]], [[103, 104, "Method"], [... | [[[7, 10, 17, 20, "USED-FOR"], [13, 13, 7, 10, "HYPONYM-OF"], [22, 23, 17, 20, "USED-FOR"]], [], [[53, 56, 47, 48, "USED-FOR"]], [], [[78, 79, 85, 88, "USED-FOR"]], [[108, 109, 103, 104, "COMPARE"]]] | W05-1308 | train | [{"sentence": "In this paper , we present a fully automated extraction system , named IntEx , to identify gene and protein interactions in biomedical text .", "entities": [{"text": "fully automated extraction system", "type": "Method"}, {"text": "IntEx", "type": "Method"}, {"text": "gene and protein interactions", "typ... |
[[[4, 4], [19, 19], [42, 42]], [[70, 70], [82, 82]]] | [["This", "paper", "introduces", "a", "method", "for", "computational", "analysis", "of", "move", "structures", "in", "abstracts", "of", "research", "articles", "."], ["In", "our", "approach", ",", "sentences", "in", "a", "given", "abstract", "are", "analyzed", "and", "labeled", "with", "a", "specific", "move", "in", "... | [[[4, 4, "Generic"], [6, 10, "Task"], [12, 15, "Material"]], [[19, 19, "Generic"], [38, 39, "OtherScientificTerm"]], [[42, 42, "Generic"], [50, 50, "Material"], [53, 53, "Material"], [57, 58, "Method"], [60, 61, "Material"]], [[67, 68, "Method"], [70, 70, "Method"], [75, 76, "Material"], [78, 79, "Task"]], [[82, 82, "G... | [[[4, 4, 6, 10, "USED-FOR"], [12, 15, 6, 10, "USED-FOR"]], [], [[53, 53, 50, 50, "USED-FOR"], [60, 61, 57, 58, "USED-FOR"]], [[70, 70, 67, 68, "HYPONYM-OF"], [70, 70, 75, 76, "USED-FOR"], [75, 76, 78, 79, "USED-FOR"]], [[82, 82, 86, 86, "USED-FOR"], [86, 86, 88, 91, "USED-FOR"]]] | P06-4011 | train | [{"sentence": "This paper introduces a method for computational analysis of move structures in abstracts of research articles .", "entities": [{"text": "method", "type": "Generic"}, {"text": "computational analysis of move structures", "type": "Task"}, {"text": "abstracts of research articles", "type": "Material"}], "r... |
[[[4, 5], [19, 19], [43, 43]]] | [["This", "work", "presents", "a", "real-time", "system", "for", "multiple", "object", "tracking", "in", "dynamic", "scenes", "."], ["A", "unique", "characteristic", "of", "the", "system", "is", "its", "ability", "to", "cope", "with", "long-duration", "and", "complete", "occlusion", "without", "a", "prior", "knowledge"... | [[[4, 5, "Method"], [7, 12, "Task"]], [[19, 19, "Generic"], [26, 29, "OtherScientificTerm"], [32, 33, "OtherScientificTerm"], [36, 36, "OtherScientificTerm"], [38, 40, "OtherScientificTerm"]], [[43, 43, "Generic"], [48, 48, "Task"], [52, 53, "OtherScientificTerm"], [58, 59, "OtherScientificTerm"], [70, 71, "Material"],... | [[[4, 5, 7, 12, "USED-FOR"]], [[19, 19, 26, 29, "USED-FOR"], [32, 33, 36, 36, "FEATURE-OF"], [32, 33, 38, 40, "FEATURE-OF"], [36, 36, 38, 40, "CONJUNCTION"]], [[48, 48, 43, 43, "EVALUATE-FOR"]]] | CVPR_2005_11_abs | train | [{"sentence": "This work presents a real-time system for multiple object tracking in dynamic scenes .", "entities": [{"text": "real-time system", "type": "Method"}, {"text": "multiple object tracking in dynamic scenes", "type": "Task"}], "relations": [{"head": "real-time system", "tail": "multiple object tracking in dy... |
[[[3, 3], [12, 12]]] | [["We", "propose", "a", "method", "of", "organizing", "reading", "materials", "for", "vocabulary", "learning", "."], ["It", "enables", "us", "to", "select", "a", "concise", "set", "of", "reading", "texts", "-LRB-", "from", "a", "target", "corpus", "-RRB-", "that", "contains", "all", "the", "target", "vocabulary", "to",... | [[[3, 3, "Generic"], [5, 7, "Task"], [9, 10, "Task"]], [[12, 12, "Generic"], [33, 34, "OtherScientificTerm"]], [[55, 56, "Material"], [59, 60, "Material"]], [], []] | [[[3, 3, 5, 7, "USED-FOR"], [5, 7, 9, 10, "USED-FOR"]], [], [[55, 56, 59, 60, "HYPONYM-OF"]], [], []] | P05-3030 | train | [{"sentence": "We propose a method of organizing reading materials for vocabulary learning .", "entities": [{"text": "method", "type": "Generic"}, {"text": "organizing reading materials", "type": "Task"}, {"text": "vocabulary learning", "type": "Task"}], "relations": [{"head": "method", "tail": "organizing reading mate... |
[[[15, 16], [57, 58]], [[2, 3], [21, 21], [50, 51]]] | [["A", "novel", "bootstrapping", "approach", "to", "Named", "Entity", "-LRB-", "NE", "-RRB-", "tagging", "using", "concept-based", "seeds", "and", "successive", "learners", "is", "presented", "."], ["This", "approach", "only", "requires", "a", "few", "common", "noun", "or", "pronoun", "seeds", "that", "correspond", "to... | [[[2, 3, "Method"], [5, 10, "Task"], [12, 13, "OtherScientificTerm"], [15, 16, "Method"]], [[21, 21, "Generic"], [39, 39, "OtherScientificTerm"], [46, 47, "OtherScientificTerm"]], [[50, 51, "Method"], [57, 58, "Method"]], [[62, 63, "OtherScientificTerm"], [69, 71, "OtherScientificTerm"]], [[76, 78, "Method"], [89, 89, ... | [[[2, 3, 5, 10, "USED-FOR"], [12, 13, 2, 3, "USED-FOR"], [12, 13, 15, 16, "CONJUNCTION"], [15, 16, 2, 3, "USED-FOR"]], [[46, 47, 39, 39, "HYPONYM-OF"]], [[57, 58, 50, 51, "USED-FOR"]], [[62, 63, 69, 71, "USED-FOR"]], [], [[93, 94, 96, 97, "USED-FOR"]]] | N03-2025 | train | [{"sentence": "A novel bootstrapping approach to Named Entity -LRB- NE -RRB- tagging using concept-based seeds and successive learners is presented .", "entities": [{"text": "bootstrapping approach", "type": "Method"}, {"text": "Named Entity -LRB- NE -RRB- tagging", "type": "Task"}, {"text": "concept-based seeds", "typ... |
[[[91, 92], [115, 116], [142, 143], [174, 175], [188, 188]], [[52, 59], [127, 129], [153, 155], [182, 184], [198, 199]]] | [["We", "present", "the", "first", "known", "empirical", "test", "of", "an", "increasingly", "common", "speculative", "claim", ",", "by", "evaluating", "a", "representative", "Chinese-to-English", "SMT", "model", "directly", "on", "word", "sense", "disambiguation", "performance", ",", "using", "standard", "WSD", "evalu... | [[[18, 20, "Method"], [23, 25, "Task"], [30, 32, "Method"], [37, 41, "Material"]], [[52, 59, "Method"], [65, 68, "Material"]], [[80, 81, "Metric"], [83, 88, "Task"], [91, 92, "Method"], [99, 99, "Task"]], [[112, 113, "Metric"], [115, 116, "Method"], [124, 124, "Generic"], [127, 129, "Method"]], [[137, 138, "Metric"], [... | [[[23, 25, 18, 20, "EVALUATE-FOR"], [30, 32, 18, 20, "EVALUATE-FOR"], [37, 41, 18, 20, "EVALUATE-FOR"]], [[65, 68, 52, 59, "EVALUATE-FOR"]], [[80, 81, 83, 88, "EVALUATE-FOR"], [91, 92, 99, 99, "USED-FOR"]], [[112, 113, 115, 116, "EVALUATE-FOR"], [124, 124, 112, 113, "COMPARE"]], [[137, 138, 142, 143, "EVALUATE-FOR"], [... | I05-2021 | train | [{"sentence": "We present the first known empirical test of an increasingly common speculative claim , by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance , using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task ."... |
[[[26, 30], [40, 40]]] | [["In", "this", "paper", "we", "present", "a", "novel", ",", "customizable", ":", "IE", "paradigm", "that", "takes", "advantage", "of", "predicate-argument", "structures", "."], ["We", "also", "introduce", "a", "new", "way", "of", "automatically", "identifying", "predicate", "argument", "structures", ",", "which", "is"... | [[[10, 11, "Method"], [16, 17, "OtherScientificTerm"]], [[26, 30, "Task"], [37, 38, "Method"]], [[40, 40, "Generic"], [52, 52, "OtherScientificTerm"], [58, 61, "Method"]], [[71, 72, "OtherScientificTerm"], [76, 76, "Task"]]] | [[[16, 17, 10, 11, "USED-FOR"]], [], [[52, 52, 40, 40, "USED-FOR"], [52, 52, 58, 61, "CONJUNCTION"], [58, 61, 40, 40, "USED-FOR"]], [[71, 72, 76, 76, "USED-FOR"]]] | P03-1002 | train | [{"sentence": "In this paper we present a novel , customizable : IE paradigm that takes advantage of predicate-argument structures .", "entities": [{"text": "IE paradigm", "type": "Method"}, {"text": "predicate-argument structures", "type": "OtherScientificTerm"}], "relations": [{"head": "predicate-argument structures"... |
[[[6, 7], [33, 34], [59, 59]]] | [["In", "this", "paper", "we", "present", "a", "statistical", "profile", "of", "the", "Named", "Entity", "task", ",", "a", "specific", "information", "extraction", "task", "for", "which", "corpora", "in", "several", "languages", "are", "available", "."], ["Using", "the", "results", "of", "the", "statistical", "analysis... | [[[6, 7, "Generic"], [10, 12, "Task"], [16, 18, "Task"]], [[33, 34, "Method"], [39, 39, "Generic"], [41, 43, "Method"], [45, 47, "Material"], [59, 59, "Generic"]]] | [[[6, 7, 10, 12, "USED-FOR"], [10, 12, 16, 18, "HYPONYM-OF"]], [[33, 34, 39, 39, "USED-FOR"], [39, 39, 41, 43, "USED-FOR"], [41, 43, 45, 47, "USED-FOR"]]] | A97-1028 | train | [{"sentence": "In this paper we present a statistical profile of the Named Entity task , a specific information extraction task for which corpora in several languages are available .", "entities": [{"text": "statistical profile", "type": "Generic"}, {"text": "Named Entity task", "type": "Task"}, {"text": "information e... |
[[[32, 35], [69, 69], [98, 98]]] | [["We", "attack", "an", "inexplicably", "under-explored", "language", "genre", "of", "spoken", "language", "--", "lyrics", "in", "music", "--", "via", "completely", "unsuper-vised", "induction", "of", "an", "SMT-style", "stochastic", "transduction", "grammar", "for", "hip", "hop", "lyrics", ",", "yielding", "a", "fully... | [[[4, 9, "Material"], [11, 13, "Material"], [17, 18, "Method"], [21, 24, "Method"], [26, 28, "Material"], [32, 35, "Method"], [38, 39, "Material"]], [[53, 55, "Material"]], [[69, 69, "Generic"], [80, 84, "OtherScientificTerm"]], [[98, 98, "Generic"], [106, 107, "OtherScientificTerm"], [116, 118, "Method"], [122, 122, "... | [[[11, 13, 4, 9, "HYPONYM-OF"], [17, 18, 4, 9, "USED-FOR"], [17, 18, 21, 24, "USED-FOR"], [17, 18, 32, 35, "USED-FOR"], [26, 28, 21, 24, "FEATURE-OF"], [32, 35, 38, 39, "USED-FOR"]], [], [], [[98, 98, 116, 118, "COMPARE"], [122, 122, 98, 98, "EVALUATE-FOR"], [122, 122, 116, 118, "EVALUATE-FOR"]]] | INTERSPEECH_2013_28_abs | train | [{"sentence": "We attack an inexplicably under-explored language genre of spoken language -- lyrics in music -- via completely unsuper-vised induction of an SMT-style stochastic transduction grammar for hip hop lyrics , yielding a fully-automatically learned challenge-response system that produces rhyming lyrics given ... |
[[[72, 77], [81, 81], [182, 182]], [[43, 45], [87, 89]], [[110, 112], [162, 162]], [[126, 127], [139, 139]], [[105, 107], [142, 144]]] | [["In", "this", "paper", ",", "we", "investigate", "the", "problem", "of", "automatically", "predicting", "segment", "boundaries", "in", "spoken", "multiparty", "dialogue", "."], ["We", "extend", "prior", "work", "in", "two", "ways", "."], ["We", "first", "apply", "approaches", "that", "have", "been", "proposed", "for"... | [[[10, 12, "Task"], [14, 16, "Material"]], [], [[29, 29, "Generic"], [35, 38, "Task"], [43, 45, "Task"]], [[56, 57, "OtherScientificTerm"], [61, 62, "OtherScientificTerm"]], [[69, 69, "OtherScientificTerm"], [72, 77, "Task"], [81, 81, "Generic"], [87, 89, "Task"], [92, 94, "Method"], [105, 107, "Task"], [110, 112, "Met... | [[[14, 16, 10, 12, "USED-FOR"]], [], [[29, 29, 35, 38, "USED-FOR"], [29, 29, 43, 45, "USED-FOR"], [35, 38, 43, 45, "FEATURE-OF"]], [[56, 57, 61, 62, "COMPARE"]], [[87, 89, 72, 77, "PART-OF"], [92, 94, 87, 89, "USED-FOR"], [105, 107, 72, 77, "PART-OF"], [110, 112, 105, 107, "USED-FOR"], [115, 118, 110, 112, "CONJUNCTION... | E06-1035 | train | [{"sentence": "In this paper , we investigate the problem of automatically predicting segment boundaries in spoken multiparty dialogue .", "entities": [{"text": "predicting segment boundaries", "type": "Task"}, {"text": "spoken multiparty dialogue", "type": "Material"}], "relations": [{"head": "spoken multiparty dialog... |
[[[42, 42], [45, 45]], [[11, 11], [21, 21], [53, 53], [56, 56]]] | [["We", "describe", "a", "simple", "unsupervised", "technique", "for", "learning", "morphology", "by", "identifying", "hubs", "in", "an", "automaton", "."], ["For", "our", "purposes", ",", "a", "hub", "is", "a", "node", "in", "a", "graph", "with", "in-degree", "greater", "than", "one", "and", "out-degree", "greater", "... | [[[4, 5, "Method"], [8, 8, "Task"], [11, 11, "OtherScientificTerm"], [14, 14, "OtherScientificTerm"]], [[21, 21, "OtherScientificTerm"], [24, 24, "OtherScientificTerm"], [27, 27, "OtherScientificTerm"]], [[42, 42, "Method"], [45, 45, "Generic"], [48, 49, "OtherScientificTerm"], [53, 53, "OtherScientificTerm"]], [[56, 5... | [[[4, 5, 8, 8, "USED-FOR"], [11, 11, 4, 5, "USED-FOR"], [11, 11, 14, 14, "PART-OF"]], [[21, 21, 24, 24, "HYPONYM-OF"], [24, 24, 27, 27, "PART-OF"]], [[42, 42, 53, 53, "USED-FOR"], [48, 49, 53, 53, "USED-FOR"]], []] | N03-2015 | train | [{"sentence": "We describe a simple unsupervised technique for learning morphology by identifying hubs in an automaton .", "entities": [{"text": "unsupervised technique", "type": "Method"}, {"text": "morphology", "type": "Task"}, {"text": "hubs", "type": "OtherScientificTerm"}, {"text": "automaton", "type": "OtherScien... |
[[[93, 94], [103, 103]]] | [["In", "Bayesian", "machine", "learning", ",", "conjugate", "priors", "are", "popular", ",", "mostly", "due", "to", "mathematical", "convenience", "."], ["In", "this", "paper", ",", "we", "show", "that", "there", "are", "deeper", "reasons", "for", "choosing", "a", "conjugate", "prior", "."], ["Specifically", ",", "we"... | [[[1, 3, "Task"], [5, 6, "OtherScientificTerm"]], [[30, 31, "OtherScientificTerm"]], [[38, 39, "OtherScientificTerm"], [44, 45, "OtherScientificTerm"], [55, 56, "OtherScientificTerm"]], [[74, 75, "OtherScientificTerm"]], [[90, 94, "OtherScientificTerm"], [93, 94, "OtherScientificTerm"], [98, 98, "Generic"], [103, 103, ... | [[[5, 6, 1, 3, "PART-OF"]], [], [[44, 45, 38, 39, "FEATURE-OF"]], [], [[90, 94, 98, 98, "USED-FOR"], [103, 103, 108, 111, "USED-FOR"], [108, 111, 114, 115, "PART-OF"], [114, 115, 117, 118, "USED-FOR"]]] | IJCAI_2010_4_abs | train | [{"sentence": "In Bayesian machine learning , conjugate priors are popular , mostly due to mathematical convenience .", "entities": [{"text": "Bayesian machine learning", "type": "Task"}, {"text": "conjugate priors", "type": "OtherScientificTerm"}], "relations": [{"head": "conjugate priors", "tail": "Bayesian machine l... |
[[[14, 14], [46, 47], [57, 57], [80, 80]], [[4, 9], [17, 17]]] | [["This", "paper", "defines", "a", "generative", "probabilistic", "model", "of", "parse", "trees", ",", "which", "we", "call", "PCFG-LA", "."], ["This", "model", "is", "an", "extension", "of", "PCFG", "in", "which", "non-terminal", "symbols", "are", "augmented", "with", "latent", "variables", "."], ["Finegrained", "CFG... | [[[4, 9, "Method"], [14, 14, "Method"]], [[17, 17, "Generic"], [22, 22, "Method"], [25, 26, "OtherScientificTerm"], [30, 31, "OtherScientificTerm"]], [[33, 35, "OtherScientificTerm"], [41, 42, "Material"], [46, 47, "Method"], [50, 50, "Method"]], [[53, 54, "Task"], [57, 57, "Method"]], [[73, 75, "Material"], [80, 80, "... | [[[14, 14, 4, 9, "HYPONYM-OF"]], [[22, 22, 17, 17, "USED-FOR"], [25, 26, 22, 22, "PART-OF"], [30, 31, 25, 26, "USED-FOR"]], [[41, 42, 33, 35, "USED-FOR"], [50, 50, 46, 47, "USED-FOR"]], [[57, 57, 53, 54, "USED-FOR"]], [[73, 75, 80, 80, "EVALUATE-FOR"], [73, 75, 103, 105, "EVALUATE-FOR"], [80, 80, 103, 105, "COMPARE"], ... | P05-1010 | train | [{"sentence": "This paper defines a generative probabilistic model of parse trees , which we call PCFG-LA .", "entities": [{"text": "generative probabilistic model of parse trees", "type": "Method"}, {"text": "PCFG-LA", "type": "Method"}], "relations": [{"head": "PCFG-LA", "tail": "generative probabilistic model of par... |
[[[100, 101], [239, 239]], [[151, 155], [220, 220]]] | [["This", "paper", "reports", "on", "two", "contributions", "to", "large", "vocabulary", "continuous", "speech", "recognition", "."], ["First", ",", "we", "present", "a", "new", "paradigm", "for", "speaker-independent", "-LRB-", "SI", "-RRB-", "training", "of", "hidden", "Markov", "models", "-LRB-", "HMM", "-RRB-", ","... | [[[7, 11, "Task"]], [[21, 32, "Task"], [40, 40, "Material"]], [[70, 76, "OtherScientificTerm"], [81, 86, "OtherScientificTerm"]], [[100, 101, "Task"], [108, 110, "Metric"], [120, 123, "Material"]], [], [[151, 155, "Task"], [159, 160, "Material"]], [[176, 178, "Method"]], [[195, 196, "Method"]], [[220, 220, "Task"], [22... | [[], [[40, 40, 21, 32, "USED-FOR"]], [[70, 76, 81, 86, "COMPARE"]], [[108, 110, 100, 101, "EVALUATE-FOR"], [120, 123, 100, 101, "EVALUATE-FOR"]], [], [[159, 160, 151, 155, "EVALUATE-FOR"]], [], [], [[223, 224, 220, 220, "EVALUATE-FOR"]]] | H90-1060 | train | [{"sentence": "This paper reports on two contributions to large vocabulary continuous speech recognition .", "entities": [{"text": "large vocabulary continuous speech recognition", "type": "Task"}], "relations": []}, {"sentence": "First , we present a new paradigm for speaker-independent -LRB- SI -RRB- training of hidd... |
[[[98, 103], [158, 158]], [[10, 11], [44, 44], [92, 92]]] | [["In", "this", "paper", ",", "we", "show", "how", "to", "construct", "a", "transfer", "dictionary", "automatically", "."], ["Dictionary", "construction", ",", "one", "of", "the", "most", "difficult", "tasks", "in", "developing", "a", "machine", "translation", "system", ",", "is", "expensive", "."], ["To", "avoid", "th... | [[[10, 11, "Material"]], [[14, 15, "Task"], [26, 28, "Task"]], [[44, 44, "Generic"], [47, 48, "Material"]], [[69, 70, "Material"], [72, 72, "Material"]], [[82, 83, "Task"], [90, 92, "OtherScientificTerm"], [92, 92, "Generic"]], [[98, 103, "Method"], [106, 110, "Material"]], [[117, 117, "Generic"], [119, 122, "OtherScie... | [[], [[14, 15, 26, 28, "PART-OF"]], [[47, 48, 44, 44, "USED-FOR"]], [[72, 72, 69, 70, "USED-FOR"]], [[82, 83, 90, 92, "EVALUATE-FOR"]], [[106, 110, 98, 103, "USED-FOR"]], [[119, 122, 117, 117, "USED-FOR"], [125, 126, 117, 117, "USED-FOR"], [125, 126, 129, 130, "CONJUNCTION"], [129, 130, 117, 117, "USED-FOR"]], [[138, 1... | W04-2204 | train | [{"sentence": "In this paper , we show how to construct a transfer dictionary automatically .", "entities": [{"text": "transfer dictionary", "type": "Material"}], "relations": []}, {"sentence": "Dictionary construction , one of the most difficult tasks in developing a machine translation system , is expensive .", "enti... |
[[[10, 10], [20, 20]], [[8, 8], [30, 30]]] | [["An", "empirical", "comparison", "of", "CFG", "filtering", "techniques", "for", "LTAG", "and", "HPSG", "is", "presented", "."], ["We", "demonstrate", "that", "an", "approximation", "of", "HPSG", "produces", "a", "more", "effective", "CFG", "filter", "than", "that", "of", "LTAG", "."], ["We", "also", "investigate", "t... | [[[4, 6, "Method"], [8, 8, "Method"], [10, 10, "Method"]], [[18, 20, "Method"], [20, 20, "Method"], [25, 26, "Method"], [28, 28, "Generic"], [30, 30, "Method"]], []] | [[[4, 6, 8, 8, "USED-FOR"], [4, 6, 10, 10, "USED-FOR"], [8, 8, 10, 10, "COMPARE"]], [[18, 20, 25, 26, "USED-FOR"], [25, 26, 28, 28, "COMPARE"], [28, 28, 30, 30, "USED-FOR"]], []] | P03-2036 | train | [{"sentence": "An empirical comparison of CFG filtering techniques for LTAG and HPSG is presented .", "entities": [{"text": "CFG filtering techniques", "type": "Method"}, {"text": "LTAG", "type": "Method"}, {"text": "HPSG", "type": "Method"}], "relations": [{"head": "CFG filtering techniques", "tail": "LTAG", "label": ... |
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[[[3, 3], [59, 60], [112, 114]], [[86, 89], [94, 94]]] | [["We", "propose", "a", "framework", "to", "derive", "the", "distance", "between", "concepts", "from", "distributional", "measures", "of", "word", "co-occurrences", "."], ["We", "use", "the", "categories", "in", "a", "published", "thesaurus", "as", "coarse-grained", "concepts", ",", "allowing", "all", "possible", "dist... | [[[3, 3, "Generic"], [9, 9, "OtherScientificTerm"], [11, 15, "Method"]], [[26, 27, "OtherScientificTerm"], [39, 40, "OtherScientificTerm"]], [[59, 60, "Method"], [63, 65, "Method"], [68, 68, "Generic"], [73, 80, "Task"], [86, 89, "Task"]], [[94, 94, "Generic"], [99, 100, "Method"], [112, 114, "Method"]]] | [[[11, 15, 3, 3, "USED-FOR"]], [], [[59, 60, 68, 68, "USED-FOR"], [63, 65, 59, 60, "COMPARE"], [63, 65, 68, 68, "USED-FOR"], [73, 80, 68, 68, "HYPONYM-OF"], [86, 89, 68, 68, "HYPONYM-OF"], [86, 89, 73, 80, "CONJUNCTION"]], [[94, 94, 99, 100, "EVALUATE-FOR"], [94, 94, 112, 114, "EVALUATE-FOR"], [112, 114, 99, 100, "COMP... | W06-1605 | train | [{"sentence": "We propose a framework to derive the distance between concepts from distributional measures of word co-occurrences .", "entities": [{"text": "framework", "type": "Generic"}, {"text": "concepts", "type": "OtherScientificTerm"}, {"text": "distributional measures of word co-occurrences", "type": "Method"}],... |
[[[10, 16], [72, 73], [79, 79]], [[84, 89], [102, 102]]] | [["We", "focus", "on", "the", "problem", "of", "building", "large", "repositories", "of", "lexical", "conceptual", "structure", "-LRB-", "LCS", "-RRB-", "representations", "for", "verbs", "in", "multiple", "languages", "."], ["One", "of", "the", "main", "results", "of", "this", "work", "is", "the", "definition", "of", ... | [[[10, 16, "Method"]], [[38, 40, "OtherScientificTerm"], [42, 44, "Method"]], [[47, 51, "Method"], [63, 64, "Task"], [66, 68, "Task"], [72, 73, "Method"]], [[79, 79, "Generic"], [84, 89, "OtherScientificTerm"]], [[102, 102, "Generic"], [105, 108, "Task"], [110, 111, "Task"]]] | [[], [[38, 40, 42, 44, "CONJUNCTION"]], [[47, 51, 72, 73, "USED-FOR"], [63, 64, 47, 51, "USED-FOR"], [63, 64, 66, 68, "CONJUNCTION"], [66, 68, 47, 51, "USED-FOR"]], [[79, 79, 84, 89, "USED-FOR"]], [[102, 102, 105, 108, "USED-FOR"], [102, 102, 110, 111, "USED-FOR"], [105, 108, 110, 111, "CONJUNCTION"]]] | A97-1021 | train | [{"sentence": "We focus on the problem of building large repositories of lexical conceptual structure -LRB- LCS -RRB- representations for verbs in multiple languages .", "entities": [{"text": "lexical conceptual structure -LRB- LCS -RRB- representations", "type": "Method"}], "relations": []}, {"sentence": "One of the m... |
[[[5, 11], [49, 49], [66, 66]], [[100, 101], [130, 131]], [[89, 90], [147, 147]]] | [["The", "theoretical", "study", "of", "the", "range", "concatenation", "grammar", "-LSB-", "RCG", "-RSB-", "formalism", "has", "revealed", "many", "attractive", "properties", "which", "may", "be", "used", "in", "NLP", "."], ["In", "particular", ",", "range", "concatenation", "languages", "-LSB-", "RCL", "-RSB-", "can"... | [[[5, 11, "Method"], [22, 22, "Task"]], [[27, 32, "OtherScientificTerm"], [37, 38, "OtherScientificTerm"], [42, 43, "Method"], [49, 49, "Method"], [53, 56, "Metric"]], [[66, 66, "Method"], [69, 71, "Method"], [76, 80, "OtherScientificTerm"]], [[89, 90, "Method"], [100, 101, "Method"]], [[104, 105, "Method"], [109, 110,... | [[[5, 11, 22, 22, "USED-FOR"]], [[37, 38, 27, 32, "FEATURE-OF"], [53, 56, 42, 43, "EVALUATE-FOR"]], [[76, 80, 69, 71, "FEATURE-OF"]], [[89, 90, 100, 101, "USED-FOR"]], [[109, 110, 113, 114, "USED-FOR"], [130, 131, 123, 125, "USED-FOR"]], [[150, 153, 147, 147, "EVALUATE-FOR"]]] | P01-1007 | train | [{"sentence": "The theoretical study of the range concatenation grammar -LSB- RCG -RSB- formalism has revealed many attractive properties which may be used in NLP .", "entities": [{"text": "range concatenation grammar -LSB- RCG -RSB- formalism", "type": "Method"}, {"text": "NLP", "type": "Task"}], "relations": [{"head"... |
[[[52, 56], [93, 93]], [[44, 45], [100, 101], [110, 110], [123, 123], [132, 132], [158, 158], [170, 170]]] | [["In", "this", "paper", "we", "introduce", "Ant-Q", ",", "a", "family", "of", "algorithms", "which", "present", "many", "similarities", "with", "Q-learning", "-LRB-", "Watkins", ",", "1989", "-RRB-", ",", "and", "which", "we", "apply", "to", "the", "solution", "of", "symmetric", "and", "asym-metric", "instances", "of"... | [[[5, 5, "Method"], [16, 16, "Method"], [31, 42, "Task"]], [[44, 45, "Method"], [52, 56, "Method"], [59, 60, "Method"], [62, 63, "Task"]], [[93, 93, "Method"], [100, 101, "Method"], [107, 107, "Generic"], [110, 110, "Generic"], [115, 115, "OtherScientificTerm"]], [[123, 123, "Method"], [132, 132, "Method"], [134, 135, ... | [[[5, 5, 31, 42, "USED-FOR"]], [[52, 56, 44, 45, "USED-FOR"], [52, 56, 59, 60, "HYPONYM-OF"], [59, 60, 62, 63, "USED-FOR"]], [[93, 93, 100, 101, "HYPONYM-OF"], [107, 107, 110, 110, "PART-OF"], [107, 107, 115, 115, "COMPARE"]], [[132, 132, 134, 135, "USED-FOR"], [132, 132, 144, 145, "COMPARE"], [148, 149, 144, 145, "USE... | ICML_1995_30_abs | train | [{"sentence": "In this paper we introduce Ant-Q , a family of algorithms which present many similarities with Q-learning -LRB- Watkins , 1989 -RRB- , and which we apply to the solution of symmetric and asym-metric instances of the traveling salesman problem -LRB- TSP -RRB- .", "entities": [{"text": "Ant-Q", "type": "Me... |
[[[58, 63], [65, 66]], [[7, 8], [21, 21], [130, 130]], [[134, 134], [138, 143], [154, 154], [182, 182]]] | [["In", "this", "paper", ",", "we", "develop", "a", "geometric", "framework", "for", "linear", "or", "nonlinear", "discriminant", "subspace", "learning", "and", "classification", "."], ["In", "our", "framework", ",", "the", "structures", "of", "classes", "are", "conceptualized", "as", "a", "semi-Riemannian", "manifold"... | [[[7, 8, "Method"], [10, 17, "Task"]], [[21, 21, "Generic"], [24, 26, "OtherScientificTerm"], [31, 32, "OtherScientificTerm"], [38, 38, "OtherScientificTerm"], [42, 44, "OtherScientificTerm"]], [[47, 48, "OtherScientificTerm"], [58, 63, "Metric"]], [[65, 66, "Metric"], [72, 75, "Method"], [78, 82, "OtherScientificTerm"... | [[[7, 8, 10, 17, "USED-FOR"]], [[31, 32, 24, 26, "USED-FOR"], [38, 38, 42, 44, "PART-OF"]], [[58, 63, 47, 48, "USED-FOR"]], [[72, 75, 65, 66, "USED-FOR"], [72, 75, 78, 82, "CONJUNCTION"], [78, 82, 65, 66, "USED-FOR"]], [[97, 98, 93, 94, "FEATURE-OF"], [111, 112, 104, 108, "FEATURE-OF"]], [], [[130, 130, 134, 134, "USED... | CVPR_2008_259_abs | train | [{"sentence": "In this paper , we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification .", "entities": [{"text": "geometric framework", "type": "Method"}, {"text": "linear or nonlinear discriminant subspace learning and classification", "type": "Task"}], "relations": [... |
[[[19, 22], [48, 49]], [[1, 2], [16, 16], [54, 54]], [[69, 70], [86, 86]], [[61, 62], [96, 97]]] | [["A", "deterministic", "parser", "is", "under", "development", "which", "represents", "a", "departure", "from", "traditional", "deterministic", "parsers", "in", "that", "it", "combines", "both", "symbolic", "and", "connectionist", "components", "."], ["The", "connectionist", "component", "is", "trained", "either", "fr... | [[[1, 2, "Method"], [12, 13, "Method"], [16, 16, "Generic"], [19, 22, "Method"]], [[25, 26, "Method"], [31, 31, "OtherScientificTerm"], [35, 39, "Method"]], [[48, 49, "Method"], [54, 54, "Method"], [61, 62, "Method"]], [[69, 70, "Method"], [75, 75, "Task"], [78, 79, "Method"], [82, 83, "Method"]], [[86, 86, "Generic"],... | [[[1, 2, 12, 13, "COMPARE"], [19, 22, 16, 16, "PART-OF"]], [[31, 31, 25, 26, "USED-FOR"], [35, 39, 31, 31, "USED-FOR"]], [[48, 49, 54, 54, "USED-FOR"], [54, 54, 61, 62, "COMPARE"]], [[69, 70, 75, 75, "USED-FOR"], [78, 79, 75, 75, "USED-FOR"], [78, 79, 82, 83, "PART-OF"]], [], [], [[129, 133, 141, 145, "USED-FOR"], [129... | C90-1002 | train | [{"sentence": "A deterministic parser is under development which represents a departure from traditional deterministic parsers in that it combines both symbolic and connectionist components .", "entities": [{"text": "deterministic parser", "type": "Method"}, {"text": "deterministic parsers", "type": "Method"}, {"text":... |
[[[32, 33], [140, 141]], [[80, 81], [91, 92]]] | [["Robust", "natural", "language", "interpretation", "requires", "strong", "semantic", "domain", "models", ",", "fail-soft", "recovery", "heuristics", ",", "and", "very", "flexible", "control", "structures", "."], ["Although", "single-strategy", "parsers", "have", "met", "with", "a", "measure", "of", "success", ",", "a... | [[[1, 3, "Task"], [6, 8, "Method"], [10, 12, "Method"], [17, 18, "OtherScientificTerm"]], [[21, 22, "Method"], [32, 33, "Method"], [51, 53, "OtherScientificTerm"], [58, 60, "OtherScientificTerm"], [66, 69, "OtherScientificTerm"]], [[72, 73, "Method"], [80, 81, "Method"], [84, 85, "OtherScientificTerm"]], [[91, 92, "Met... | [[[6, 8, 1, 3, "USED-FOR"], [6, 8, 10, 12, "CONJUNCTION"], [10, 12, 1, 3, "USED-FOR"], [10, 12, 17, 18, "CONJUNCTION"], [17, 18, 1, 3, "USED-FOR"]], [[21, 22, 32, 33, "COMPARE"], [51, 53, 58, 60, "CONJUNCTION"]], [[80, 81, 72, 73, "PART-OF"], [84, 85, 80, 81, "HYPONYM-OF"]], [[91, 92, 110, 110, "USED-FOR"], [91, 92, 11... | P81-1032 | train | [{"sentence": "Robust natural language interpretation requires strong semantic domain models , fail-soft recovery heuristics , and very flexible control structures .", "entities": [{"text": "natural language interpretation", "type": "Task"}, {"text": "semantic domain models", "type": "Method"}, {"text": "fail-soft reco... |
[[[46, 52], [66, 67]], [[2, 6], [36, 37], [125, 127], [196, 196]], [[169, 169], [172, 174]]] | [["Recently", ",", "Stacked", "Auto-Encoders", "-LRB-", "SAE", "-RRB-", "have", "been", "successfully", "used", "for", "learning", "imbalanced", "datasets", "."], ["In", "this", "paper", ",", "for", "the", "first", "time", ",", "we", "propose", "to", "use", "a", "Neural", "Network", "classifier", "furnished", "by", "an... | [[[2, 6, "Method"], [12, 14, "Task"]], [[30, 32, "Method"], [36, 37, "Method"], [46, 52, "Method"]], [[54, 55, "Task"], [58, 59, "Material"], [66, 67, "Method"], [73, 75, "Metric"], [99, 100, "Method"]], [[112, 112, "Method"], [114, 117, "Task"], [121, 121, "Generic"], [125, 127, "Method"]], [[143, 144, "Material"], [1... | [[[2, 6, 12, 14, "USED-FOR"]], [[30, 32, 46, 52, "USED-FOR"], [36, 37, 30, 32, "USED-FOR"]], [[54, 55, 58, 59, "USED-FOR"]], [[112, 112, 114, 117, "USED-FOR"], [121, 121, 112, 112, "HYPONYM-OF"], [125, 127, 121, 121, "USED-FOR"]], [[147, 148, 143, 144, "FEATURE-OF"], [151, 152, 147, 148, "USED-FOR"]], [[163, 165, 158, ... | INTERSPEECH_2015_16_abs | train | [{"sentence": "Recently , Stacked Auto-Encoders -LRB- SAE -RRB- have been successfully used for learning imbalanced datasets .", "entities": [{"text": "Stacked Auto-Encoders -LRB- SAE -RRB-", "type": "Method"}, {"text": "learning imbalanced datasets", "type": "Task"}], "relations": [{"head": "Stacked Auto-Encoders -LRB... |
[[[30, 30], [34, 34]]] | [["Within", "the", "EU", "Network", "of", "Excellence", "PASCAL", ",", "a", "challenge", "was", "organized", "to", "design", "a", "statistical", "machine", "learning", "algorithm", "that", "segments", "words", "into", "the", "smallest", "meaning-bearing", "units", "of", "language", ",", "morphemes", "."], ["Ideally", "... | [[[15, 18, "Method"], [24, 28, "OtherScientificTerm"], [30, 30, "OtherScientificTerm"]], [[34, 34, "Generic"], [42, 42, "Generic"], [46, 49, "Task"], [51, 52, "Task"], [54, 55, "Task"], [58, 60, "Task"]], [], [[89, 90, "Method"], [92, 95, "Task"], [97, 100, "Method"]], [[117, 121, "Material"], [123, 123, "Material"], [... | [[[15, 18, 24, 28, "USED-FOR"], [30, 30, 24, 28, "HYPONYM-OF"]], [[34, 34, 42, 42, "USED-FOR"], [46, 49, 42, 42, "HYPONYM-OF"], [46, 49, 51, 52, "CONJUNCTION"], [51, 52, 42, 42, "HYPONYM-OF"], [51, 52, 54, 55, "CONJUNCTION"], [54, 55, 42, 42, "HYPONYM-OF"], [54, 55, 58, 60, "CONJUNCTION"], [58, 60, 42, 42, "HYPONYM-OF"... | INTERSPEECH_2006_31_abs | train | [{"sentence": "Within the EU Network of Excellence PASCAL , a challenge was organized to design a statistical machine learning algorithm that segments words into the smallest meaning-bearing units of language , morphemes .", "entities": [{"text": "statistical machine learning algorithm", "type": "Method"}, {"text": "sm... |
[[[6, 8], [21, 22], [66, 66]]] | [["This", "paper", "describes", "a", "recently", "collected", "spoken", "language", "corpus", "for", "the", "ATIS", "-LRB-", "Air", "Travel", "Information", "System", "-RRB-", "domain", "."], ["This", "data", "collection", "effort", "has", "been", "co-ordinated", "by", "MADCOW", "-LRB-", "Multi-site", "ATIS", "Data", "... | [[[6, 8, "Material"], [11, 18, "Task"]], [[21, 22, "Generic"]], [[53, 56, "Method"], [66, 66, "Generic"], [73, 74, "Material"], [82, 92, "Task"]]] | [[[6, 8, 11, 18, "USED-FOR"]], [], [[73, 74, 82, 92, "EVALUATE-FOR"]]] | H92-1003 | train | [{"sentence": "This paper describes a recently collected spoken language corpus for the ATIS -LRB- Air Travel Information System -RRB- domain .", "entities": [{"text": "spoken language corpus", "type": "Material"}, {"text": "ATIS -LRB- Air Travel Information System -RRB- domain", "type": "Task"}], "relations": [{"head"... |
[[[4, 11], [19, 20], [48, 48], [54, 54], [83, 84]]] | [["This", "paper", "proposes", "the", "Hierarchical", "Directed", "Acyclic", "Graph", "-LRB-", "HDAG", "-RRB-", "Kernel", "for", "structured", "natural", "language", "data", "."], ["The", "HDAG", "Kernel", "directly", "accepts", "several", "levels", "of", "both", "chunks", "and", "their", "relations", ",", "and", "then... | [[[4, 11, "Method"], [13, 16, "Material"]], [[19, 20, "Method"], [48, 48, "Method"]], [[54, 54, "Generic"], [56, 61, "Task"], [68, 69, "Metric"], [72, 73, "Method"]], [[83, 84, "Method"], [89, 90, "Method"], [92, 93, "Generic"]]] | [[[4, 11, 13, 16, "USED-FOR"]], [], [[54, 54, 56, 61, "USED-FOR"], [68, 69, 54, 54, "EVALUATE-FOR"], [68, 69, 72, 73, "CONJUNCTION"], [72, 73, 54, 54, "EVALUATE-FOR"]], [[83, 84, 89, 90, "COMPARE"], [83, 84, 92, 93, "COMPARE"], [89, 90, 92, 93, "CONJUNCTION"]]] | P03-1005 | train | [{"sentence": "This paper proposes the Hierarchical Directed Acyclic Graph -LRB- HDAG -RRB- Kernel for structured natural language data .", "entities": [{"text": "Hierarchical Directed Acyclic Graph -LRB- HDAG -RRB- Kernel", "type": "Method"}, {"text": "structured natural language data", "type": "Material"}], "relation... |
[[[9, 12], [52, 52]], [[16, 20], [41, 41]]] | [["We", "propose", "a", "solution", "to", "the", "challenge", "of", "the", "CoNLL", "2008", "shared", "task", "that", "uses", "a", "generative", "history-based", "latent", "variable", "model", "to", "predict", "the", "most", "likely", "derivation", "of", "a", "synchronous", "dependency", "parser", "for", "both", "synta... | [[[9, 12, "Task"], [16, 20, "Method"], [29, 31, "Task"], [34, 37, "OtherScientificTerm"]], [[41, 41, "Generic"], [45, 47, "Metric"], [52, 52, "Generic"], [56, 58, "Metric"], [62, 64, "Metric"]], [[68, 68, "Generic"], [76, 77, "Metric"], [81, 83, "Metric"], [88, 90, "Metric"]]] | [[[16, 20, 9, 12, "USED-FOR"], [16, 20, 29, 31, "USED-FOR"], [29, 31, 34, 37, "USED-FOR"]], [[45, 47, 41, 41, "EVALUATE-FOR"], [45, 47, 52, 52, "EVALUATE-FOR"], [56, 58, 52, 52, "EVALUATE-FOR"], [56, 58, 62, 64, "CONJUNCTION"], [62, 64, 52, 52, "EVALUATE-FOR"]], [[76, 77, 68, 68, "EVALUATE-FOR"], [76, 77, 81, 83, "CONJ... | W08-2122 | train | [{"sentence": "We propose a solution to the challenge of the CoNLL 2008 shared task that uses a generative history-based latent variable model to predict the most likely derivation of a synchronous dependency parser for both syntactic and semantic dependencies .", "entities": [{"text": "CoNLL 2008 shared task", "type":... |
[[[6, 9], [13, 18], [43, 43]]] | [["This", "paper", "describes", "a", "new", ",", "large", "scale", "discourse-level", "annotation", "project", "-", "the", "Penn", "Discourse", "TreeBank", "-LRB-", "PDTB", "-RRB-", "."], ["We", "present", "an", "approach", "to", "annotating", "a", "level", "of", "discourse", "structure", "that", "is", "based", "on", "... | [[[6, 9, "Task"], [13, 18, "Material"]], [[23, 23, "Generic"], [29, 30, "OtherScientificTerm"], [36, 37, "OtherScientificTerm"]], [[43, 43, "Material"], [52, 53, "Material"], [55, 55, "Material"], [60, 66, "Task"], [78, 79, "Method"]], [[88, 89, "Metric"], [93, 95, "Metric"], [100, 101, "OtherScientificTerm"]]] | [[], [[23, 23, 29, 30, "USED-FOR"], [36, 37, 23, 23, "USED-FOR"]], [[43, 43, 60, 66, "USED-FOR"], [43, 43, 78, 79, "EVALUATE-FOR"], [52, 53, 43, 43, "USED-FOR"], [52, 53, 55, 55, "CONJUNCTION"], [55, 55, 43, 43, "USED-FOR"]], [[93, 95, 88, 89, "FEATURE-OF"], [93, 95, 100, 101, "CONJUNCTION"], [100, 101, 88, 89, "FEATUR... | W04-2703 | train | [{"sentence": "This paper describes a new , large scale discourse-level annotation project - the Penn Discourse TreeBank -LRB- PDTB -RRB- .", "entities": [{"text": "large scale discourse-level annotation", "type": "Task"}, {"text": "Penn Discourse TreeBank -LRB- PDTB -RRB-", "type": "Material"}], "relations": []}, {"se... |
[[[34, 36], [49, 50]], [[28, 29], [40, 41]]] | [["Currently", ",", "N-gram", "models", "are", "the", "most", "common", "and", "widely", "used", "models", "for", "statistical", "language", "modeling", "."], ["In", "this", "paper", ",", "we", "investigated", "an", "alternative", "way", "to", "build", "language", "models", ",", "i.e.", ",", "using", "artificial", "neu... | [[[2, 3, "Method"], [13, 15, "Task"]], [[28, 29, "Method"], [34, 36, "Method"], [40, 41, "Method"]], [[49, 50, "Method"], [54, 55, "Method"], [63, 64, "Method"]]] | [[[2, 3, 13, 15, "USED-FOR"]], [[34, 36, 40, 41, "USED-FOR"]], [[49, 50, 54, 55, "USED-FOR"], [49, 50, 63, 64, "COMPARE"]]] | INTERSPEECH_2000_490_abs | train | [{"sentence": "Currently , N-gram models are the most common and widely used models for statistical language modeling .", "entities": [{"text": "N-gram models", "type": "Method"}, {"text": "statistical language modeling", "type": "Task"}], "relations": [{"head": "N-gram models", "tail": "statistical language modeling",... |
[[[65, 70], [82, 82]], [[14, 15], [36, 36]], [[114, 114], [136, 138]]] | [["Automated", "facial", "expression", "recognition", "has", "received", "increased", "attention", "over", "the", "past", "two", "decades", "."], ["Existing", "works", "in", "the", "field", "usually", "do", "not", "encode", "either", "the", "temporal", "evolution", "or", "the", "intensity", "of", "the", "observed", "fa... | [[[0, 3, "Task"]], [[14, 15, "Generic"], [25, 26, "OtherScientificTerm"], [29, 34, "OtherScientificTerm"]], [[36, 36, "Generic"], [42, 49, "Material"]], [[65, 70, "OtherScientificTerm"], [78, 79, "OtherScientificTerm"]], [[82, 82, "Generic"], [88, 96, "Method"], [98, 100, "Task"], [103, 104, "OtherScientificTerm"], [10... | [[], [[29, 34, 25, 26, "CONJUNCTION"]], [], [[78, 79, 65, 70, "USED-FOR"]], [[82, 82, 88, 96, "PART-OF"], [88, 96, 98, 100, "USED-FOR"]], [[114, 114, 116, 118, "USED-FOR"], [114, 114, 120, 124, "USED-FOR"], [116, 118, 120, 124, "CONJUNCTION"]], [[152, 155, 136, 138, "EVALUATE-FOR"]]] | CVPR_2012_10_abs | train | [{"sentence": "Automated facial expression recognition has received increased attention over the past two decades .", "entities": [{"text": "Automated facial expression recognition", "type": "Task"}], "relations": []}, {"sentence": "Existing works in the field usually do not encode either the temporal evolution or the ... |
[[[28, 29], [45, 45]], [[72, 74], [109, 109], [154, 154]]] | [["Recent", "advances", "in", "linear", "classification", "have", "shown", "that", "for", "applications", "such", "as", "document", "classification", ",", "the", "training", "can", "be", "extremely", "efficient", "."], ["However", ",", "most", "of", "the", "existing", "training", "methods", "are", "designed", "by", "as... | [[[3, 4, "Task"], [9, 9, "Generic"], [12, 13, "Task"]], [[28, 29, "Method"], [41, 42, "OtherScientificTerm"]], [[45, 45, "Generic"], [52, 52, "Generic"], [56, 57, "OtherScientificTerm"], [61, 62, "OtherScientificTerm"], [65, 65, "OtherScientificTerm"]], [[72, 74, "Method"], [76, 76, "Generic"], [80, 81, "OtherScientifi... | [[[12, 13, 9, 9, "HYPONYM-OF"]], [], [[52, 52, 56, 57, "COMPARE"]], [[72, 74, 76, 76, "USED-FOR"], [76, 76, 80, 81, "COMPARE"]], [], [[109, 109, 111, 114, "USED-FOR"]], [], []] | IJCAI_2010_5_abs | train | [{"sentence": "Recent advances in linear classification have shown that for applications such as document classification , the training can be extremely efficient .", "entities": [{"text": "linear classification", "type": "Task"}, {"text": "applications", "type": "Generic"}, {"text": "document classification", "type": ... |
[] | [["Instances", "of", "a", "word", "drawn", "from", "different", "domains", "may", "have", "different", "sense", "priors", "-LRB-", "the", "proportions", "of", "the", "different", "senses", "of", "a", "word", "-RRB-", "."], ["This", "in", "turn", "affects", "the", "accuracy", "of", "word", "sense", "disambiguation", "-L... | [[[11, 12, "OtherScientificTerm"]], [[30, 30, "Metric"], [32, 38, "Method"]], [[50, 50, "Generic"], [54, 57, "OtherScientificTerm"], [61, 62, "Material"], [70, 72, "OtherScientificTerm"], [76, 76, "Generic"]], [[80, 82, "OtherScientificTerm"], [90, 91, "OtherScientificTerm"], [98, 99, "Metric"]]] | [[], [[30, 30, 32, 38, "EVALUATE-FOR"]], [[50, 50, 54, 57, "USED-FOR"], [61, 62, 54, 57, "FEATURE-OF"], [70, 72, 76, 76, "USED-FOR"]], [[80, 82, 90, 91, "USED-FOR"]]] | P06-1012 | train | [{"sentence": "Instances of a word drawn from different domains may have different sense priors -LRB- the proportions of the different senses of a word -RRB- .", "entities": [{"text": "sense priors", "type": "OtherScientificTerm"}], "relations": []}, {"sentence": "This in turn affects the accuracy of word sense disambi... |
[[[192, 192], [221, 221]], [[47, 47], [50, 51]], [[9, 12], [27, 27], [68, 68], [86, 87], [185, 185]], [[93, 95], [122, 122]], [[74, 74], [115, 115], [139, 139]], [[164, 164], [177, 177]], [[194, 194], [223, 223]], [[205, 205], [211, 211]]] | [["In", "this", "paper", "we", "deal", "with", "a", "recently", "developed", "large", "Czech", "MWE", "database", "containing", "at", "the", "moment", "160", "000", "MWEs", "-LRB-", "treated", "as", "lexical", "units", "-RRB-", "."], ["It", "was", "compiled", "from", "various", "resources", "such", "as", "encyclopedias... | [[[9, 12, "Material"], [19, 19, "OtherScientificTerm"], [23, 24, "OtherScientificTerm"]], [[27, 27, "Generic"], [35, 35, "Material"], [37, 37, "Material"], [39, 45, "Material"], [47, 47, "Generic"], [50, 51, "Material"], [53, 58, "Material"]], [[68, 68, "Generic"], [74, 74, "OtherScientificTerm"]], [[86, 87, "Material"... | [[], [[35, 35, 27, 27, "USED-FOR"], [35, 35, 37, 37, "CONJUNCTION"], [37, 37, 27, 27, "USED-FOR"], [39, 45, 27, 27, "USED-FOR"], [47, 47, 27, 27, "USED-FOR"], [53, 58, 27, 27, "USED-FOR"], [53, 58, 47, 47, "CONJUNCTION"]], [], [[93, 95, 86, 87, "USED-FOR"]], [], [], [], [[145, 145, 148, 150, "USED-FOR"], [158, 159, 148... | L08-1540 | train | [{"sentence": "In this paper we deal with a recently developed large Czech MWE database containing at the moment 160 000 MWEs -LRB- treated as lexical units -RRB- .", "entities": [{"text": "large Czech MWE database", "type": "Material"}, {"text": "MWEs", "type": "OtherScientificTerm"}, {"text": "lexical units", "type":... |
[] | [["We", "describe", "the", "ongoing", "construction", "of", "a", "large", ",", "semantically", "annotated", "corpus", "resource", "as", "reliable", "basis", "for", "the", "large-scale", "acquisition", "of", "word-semantic", "information", ",", "e.g.", "the", "construction", "of", "domain-independent", "lexica", "."], [... | [[[9, 11, "Material"], [18, 22, "Task"], [26, 29, "Task"]], [[35, 35, "OtherScientificTerm"], [37, 38, "OtherScientificTerm"], [41, 43, "Method"]], [[51, 52, "Material"]], [[68, 68, "OtherScientificTerm"], [70, 70, "OtherScientificTerm"], [72, 73, "Method"]]] | [[[9, 11, 18, 22, "USED-FOR"], [26, 29, 18, 22, "HYPONYM-OF"]], [[37, 38, 41, 43, "PART-OF"]], [], [[68, 68, 70, 70, "CONJUNCTION"], [68, 68, 72, 73, "FEATURE-OF"], [70, 70, 72, 73, "FEATURE-OF"]]] | P03-1068 | train | [{"sentence": "We describe the ongoing construction of a large , semantically annotated corpus resource as reliable basis for the large-scale acquisition of word-semantic information , e.g. the construction of domain-independent lexica .", "entities": [{"text": "semantically annotated corpus", "type": "Material"}, {"te... |
[[[0, 5], [39, 39], [79, 81], [104, 105], [124, 124]], [[60, 61], [151, 152]], [[133, 133], [154, 154], [181, 181], [209, 210]]] | [["Statistical", "machine", "translation", "-LRB-", "SMT", "-RRB-", "is", "currently", "one", "of", "the", "hot", "spots", "in", "natural", "language", "processing", "."], ["Over", "the", "last", "few", "years", "dramatic", "improvements", "have", "been", "made", ",", "and", "a", "number", "of", "comparative", "evaluat... | [[[0, 5, "Method"], [14, 16, "Task"]], [[39, 39, "Method"], [44, 46, "Method"]], [[60, 61, "Task"], [63, 65, "OtherScientificTerm"], [67, 68, "OtherScientificTerm"]], [[79, 81, "Method"]], [[104, 105, "Method"]], [[124, 124, "Method"]], [[133, 133, "Method"], [136, 140, "Method"], [151, 152, "Task"]], [[154, 154, "Meth... | [[[0, 5, 14, 16, "HYPONYM-OF"]], [[39, 39, 44, 46, "COMPARE"]], [[60, 61, 63, 65, "USED-FOR"], [60, 61, 67, 68, "USED-FOR"], [63, 65, 67, 68, "CONJUNCTION"]], [], [], [], [[133, 133, 136, 140, "HYPONYM-OF"], [133, 133, 151, 152, "USED-FOR"]], [[154, 154, 178, 179, "USED-FOR"]], [[181, 181, 188, 194, "CONJUNCTION"], [18... | I05-2048 | train | [{"sentence": "Statistical machine translation -LRB- SMT -RRB- is currently one of the hot spots in natural language processing .", "entities": [{"text": "Statistical machine translation -LRB- SMT -RRB-", "type": "Method"}, {"text": "natural language processing", "type": "Task"}], "relations": [{"head": "Statistical ma... |
[[[10, 14], [17, 18], [26, 26], [67, 67], [70, 70]], [[4, 6], [91, 91], [103, 104]], [[118, 119], [167, 167]]] | [["This", "paper", "presents", "an", "unsupervised", "learning", "approach", "to", "building", "a", "non-English", "-LRB-", "Arabic", "-RRB-", "stemmer", "."], ["The", "stemming", "model", "is", "based", "on", "statistical", "machine", "translation", "and", "it", "uses", "an", "English", "stemmer", "and", "a", "small",... | [[[4, 6, "Method"], [10, 14, "Task"]], [[17, 18, "Method"], [22, 24, "Method"], [26, 26, "Generic"], [29, 30, "Method"], [38, 39, "Material"]], [[47, 48, "Material"]], [[56, 59, "Material"], [67, 67, "Method"], [70, 70, "Generic"]], [[87, 87, "Material"], [91, 91, "Generic"], [99, 100, "OtherScientificTerm"]], [[103, 1... | [[[4, 6, 10, 14, "USED-FOR"]], [[22, 24, 17, 18, "USED-FOR"], [29, 30, 26, 26, "USED-FOR"], [38, 39, 26, 26, "USED-FOR"]], [], [[56, 59, 67, 67, "USED-FOR"]], [], [[103, 104, 118, 119, "COMPARE"], [109, 109, 103, 104, "EVALUATE-FOR"], [109, 109, 118, 119, "EVALUATE-FOR"], [122, 122, 118, 119, "USED-FOR"], [122, 122, 12... | P03-1050 | train | [{"sentence": "This paper presents an unsupervised learning approach to building a non-English -LRB- Arabic -RRB- stemmer .", "entities": [{"text": "unsupervised learning approach", "type": "Method"}, {"text": "non-English -LRB- Arabic -RRB- stemmer", "type": "Task"}], "relations": [{"head": "unsupervised learning appr... |
[[[7, 9], [37, 37]]] | [["The", "paper", "assesses", "the", "capability", "of", "an", "HMM-based", "TTS", "system", "to", "produce", "German", "speech", "."], ["The", "results", "are", "discussed", "in", "qualitative", "terms", ",", "and", "compared", "over", "three", "different", "choices", "of", "context", "features", "."], ["In", "additio... | [[[7, 9, "Method"], [12, 13, "Material"]], [[30, 31, "OtherScientificTerm"]], [[37, 37, "Generic"], [45, 46, "Material"], [54, 55, "Material"]], [[61, 61, "Method"], [67, 70, "Material"], [92, 93, "Material"]]] | [[[7, 9, 12, 13, "USED-FOR"]], [], [[37, 37, 45, 46, "USED-FOR"], [37, 37, 54, 55, "USED-FOR"]], [[61, 61, 67, 70, "USED-FOR"]]] | INTERSPEECH_2007_31_abs | train | [{"sentence": "The paper assesses the capability of an HMM-based TTS system to produce German speech .", "entities": [{"text": "HMM-based TTS system", "type": "Method"}, {"text": "German speech", "type": "Material"}], "relations": [{"head": "HMM-based TTS system", "tail": "German speech", "label": "USED-FOR", "head_typ... |
[[[3, 6], [25, 25], [52, 52], [91, 91]]] | [["We", "give", "an", "analysis", "of", "ellipsis", "resolution", "in", "terms", "of", "a", "straightforward", "discourse", "copying", "algorithm", "that", "correctly", "predicts", "a", "wide", "range", "of", "phenomena", "."], ["The", "treatment", "does", "not", "suffer", "from", "problems", "inherent", "in", "identit... | [[[3, 6, "Task"], [12, 14, "Method"]], [[25, 25, "Generic"], [33, 34, "Task"]], [[52, 52, "Generic"], [59, 60, "OtherScientificTerm"], [63, 64, "OtherScientificTerm"], [73, 74, "Task"]], [[84, 84, "OtherScientificTerm"]], [[91, 91, "Generic"], [96, 98, "Task"]]] | [[], [], [[59, 60, 63, 64, "CONJUNCTION"]], [], [[91, 91, 96, 98, "USED-FOR"]]] | E93-1025 | train | [{"sentence": "We give an analysis of ellipsis resolution in terms of a straightforward discourse copying algorithm that correctly predicts a wide range of phenomena .", "entities": [{"text": "analysis of ellipsis resolution", "type": "Task"}, {"text": "discourse copying algorithm", "type": "Method"}], "relations": []}... |
[[[37, 39], [64, 64]], [[3, 4], [32, 32], [71, 72]]] | [["How", "to", "obtain", "hierarchical", "relations", "-LRB-", "e.g.", "superordinate", "-", "hyponym", "relation", ",", "synonym", "relation", "-RRB-", "is", "one", "of", "the", "most", "important", "problems", "for", "thesaurus", "construction", "."], ["A", "pilot", "system", "for", "extracting", "these", "relations"... | [[[3, 4, "OtherScientificTerm"], [7, 10, "OtherScientificTerm"], [12, 13, "OtherScientificTerm"], [23, 24, "Task"]], [[32, 32, "Generic"], [37, 39, "Material"]], [[57, 57, "OtherScientificTerm"], [60, 61, "OtherScientificTerm"], [64, 64, "Generic"], [71, 72, "OtherScientificTerm"]]] | [[[3, 4, 23, 24, "PART-OF"], [7, 10, 3, 4, "HYPONYM-OF"], [7, 10, 12, 13, "CONJUNCTION"], [12, 13, 3, 4, "HYPONYM-OF"]], [[37, 39, 32, 32, "USED-FOR"]], [[60, 61, 57, 57, "USED-FOR"], [60, 61, 64, 64, "PART-OF"]]] | C86-1105 | train | [{"sentence": "How to obtain hierarchical relations -LRB- e.g. superordinate - hyponym relation , synonym relation -RRB- is one of the most important problems for thesaurus construction .", "entities": [{"text": "hierarchical relations", "type": "OtherScientificTerm"}, {"text": "superordinate - hyponym relation", "type... |
[[[63, 65], [122, 122]], [[67, 67], [100, 101], [124, 124], [139, 139]]] | [["Face", "images", "of", "non-frontal", "views", "under", "poor", "illumination", "with", "low", "resolution", "reduce", "dramatically", "face", "recognition", "accuracy", "."], ["This", "is", "evident", "most", "compellingly", "by", "the", "very", "low", "recognition", "rate", "of", "all", "existing", "face", "recogn... | [[[0, 4, "Task"], [13, 15, "Metric"]], [[26, 27, "Metric"], [31, 33, "Method"], [37, 40, "Material"]], [[49, 50, "Method"], [59, 59, "OtherScientificTerm"], [61, 61, "OtherScientificTerm"], [63, 65, "Task"], [67, 67, "Task"], [69, 70, "OtherScientificTerm"]], [[74, 78, "Material"], [84, 89, "OtherScientificTerm"], [94,... | [[], [[26, 27, 31, 33, "EVALUATE-FOR"], [37, 40, 31, 33, "USED-FOR"]], [[49, 50, 63, 65, "USED-FOR"], [59, 59, 61, 61, "CONJUNCTION"], [63, 65, 67, 67, "USED-FOR"], [69, 70, 67, 67, "FEATURE-OF"]], [[74, 78, 94, 95, "USED-FOR"], [84, 89, 94, 95, "USED-FOR"], [94, 95, 100, 101, "USED-FOR"], [98, 98, 94, 95, "FEATURE-OF"... | ICCV_2005_47_abs | train | [{"sentence": "Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy .", "entities": [{"text": "Face images of non-frontal views", "type": "Task"}, {"text": "face recognition accuracy", "type": "Metric"}], "relations": []}, {"sentence": "This is evide... |
[[[33, 33], [59, 59]]] | [["In", "this", "paper", ",", "we", "describe", "a", "phrase-based", "unigram", "model", "for", "statistical", "machine", "translation", "that", "uses", "a", "much", "simpler", "set", "of", "model", "parameters", "than", "similar", "phrase-based", "models", "."], ["The", "units", "of", "translation", "are", "blocks", "... | [[[7, 9, "Method"], [11, 13, "Task"], [21, 22, "OtherScientificTerm"], [25, 26, "Method"]], [[33, 33, "OtherScientificTerm"]], [[40, 40, "Task"], [45, 47, "Method"], [50, 53, "Method"]], [[56, 56, "Task"], [59, 59, "OtherScientificTerm"], [63, 65, "Method"], [69, 70, "Method"]], [[77, 79, "Metric"], [82, 83, "OtherScie... | [[[7, 9, 11, 13, "USED-FOR"], [7, 9, 25, 26, "COMPARE"], [21, 22, 7, 9, "USED-FOR"]], [], [[45, 47, 40, 40, "USED-FOR"], [50, 53, 40, 40, "USED-FOR"], [50, 53, 45, 47, "CONJUNCTION"]], [[63, 65, 59, 59, "USED-FOR"], [69, 70, 63, 65, "USED-FOR"]], [[82, 83, 77, 79, "USED-FOR"], [82, 83, 85, 86, "CONJUNCTION"], [85, 86, ... | N03-2036 | train | [{"sentence": "In this paper , we describe a phrase-based unigram model for statistical machine translation that uses a much simpler set of model parameters than similar phrase-based models .", "entities": [{"text": "phrase-based unigram model", "type": "Method"}, {"text": "statistical machine translation", "type": "Ta... |
[[[39, 39], [113, 113]], [[45, 46], [64, 65], [80, 81]], [[36, 39], [117, 117]], [[25, 26], [125, 126]], [[5, 5], [142, 144]]] | [["This", "paper", "develops", "a", "new", "approach", "for", "extremely", "fast", "detection", "in", "domains", "where", "the", "distribution", "of", "positive", "and", "negative", "examples", "is", "highly", "skewed", "-LRB-", "e.g.", "face", "detection", "or", "database", "retrieval", "-RRB-", "."], ["In", "such", "... | [[[5, 5, "Generic"], [8, 9, "Task"], [14, 14, "OtherScientificTerm"], [16, 19, "Material"], [25, 26, "Task"], [28, 29, "Task"]], [[36, 39, "Method"], [39, 39, "Method"], [45, 46, "Metric"], [48, 51, "Metric"], [56, 56, "Generic"], [60, 60, "OtherScientificTerm"], [64, 65, "Metric"], [69, 71, "Metric"], [74, 75, "Metric... | [[[5, 5, 8, 9, "USED-FOR"], [25, 26, 28, 29, "CONJUNCTION"]], [[36, 39, 56, 56, "USED-FOR"], [45, 46, 39, 39, "EVALUATE-FOR"], [45, 46, 48, 51, "CONJUNCTION"], [48, 51, 39, 39, "EVALUATE-FOR"], [60, 60, 56, 56, "FEATURE-OF"]], [[80, 81, 85, 86, "COMPARE"]], [[105, 105, 113, 113, "USED-FOR"], [113, 113, 117, 117, "USED-... | NIPS_2001_10_abs | train | [{"sentence": "This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed -LRB- e.g. face detection or database retrieval -RRB- .", "entities": [{"text": "approach", "type": "Generic"}, {"text": "fast detection", "type": "Task"}, ... |
[[[15, 17], [29, 29]], [[4, 4], [58, 58], [71, 71]]] | [["This", "paper", "proposes", "a", "method", "for", "learning", "joint", "embed-dings", "of", "images", "and", "text", "using", "a", "two-branch", "neural", "network", "with", "multiple", "layers", "of", "linear", "projections", "followed", "by", "nonlinearities", "."], ["The", "network", "is", "trained", "using", "a"... | [[[4, 4, "Generic"], [7, 12, "OtherScientificTerm"], [15, 17, "Method"], [19, 23, "OtherScientificTerm"], [26, 26, "OtherScientificTerm"]], [[29, 29, "Generic"], [34, 35, "OtherScientificTerm"], [38, 40, "OtherScientificTerm"], [42, 46, "OtherScientificTerm"], [49, 51, "OtherScientificTerm"]], [[58, 58, "Generic"], [63... | [[[4, 4, 7, 12, "USED-FOR"], [15, 17, 4, 4, "USED-FOR"], [19, 23, 15, 17, "PART-OF"], [19, 23, 26, 26, "CONJUNCTION"], [26, 26, 15, 17, "PART-OF"]], [[34, 35, 29, 29, "USED-FOR"], [38, 40, 34, 35, "FEATURE-OF"], [38, 40, 42, 46, "CONJUNCTION"], [42, 46, 34, 35, "FEATURE-OF"]], [[63, 63, 58, 58, "EVALUATE-FOR"], [65, 68... | CVPR_2016_15_abs | train | [{"sentence": "This paper proposes a method for learning joint embed-dings of images and text using a two-branch neural network with multiple layers of linear projections followed by nonlinearities .", "entities": [{"text": "method", "type": "Generic"}, {"text": "joint embed-dings of images and text", "type": "OtherSci... |
[[[1, 6], [46, 47]]] | [["State-of-the-art", "Question", "Answering", "-LRB-", "QA", "-RRB-", "systems", "are", "very", "sensitive", "to", "variations", "in", "the", "phrasing", "of", "an", "information", "need", "."], ["Finding", "the", "preferred", "language", "for", "such", "a", "need", "is", "a", "valuable", "task", "."], ["We", "investi... | [[[1, 6, "Method"]], [], [[41, 43, "Method"], [46, 47, "Method"], [50, 51, "Material"]], [[62, 62, "Metric"]]] | [[], [], [[41, 43, 46, 47, "USED-FOR"], [50, 51, 46, 47, "EVALUATE-FOR"]], []] | N06-2009 | train | [{"sentence": "State-of-the-art Question Answering -LRB- QA -RRB- systems are very sensitive to variations in the phrasing of an information need .", "entities": [{"text": "Question Answering -LRB- QA -RRB- systems", "type": "Method"}], "relations": []}, {"sentence": "Finding the preferred language for such a need is a... |
[[[1, 5], [34, 34]]] | [["The", "TAP-XL", "Automated", "Analyst", "'s", "Assistant", "is", "an", "application", "designed", "to", "help", "an", "English", "-", "speaking", "analyst", "write", "a", "topical", "report", ",", "culling", "information", "from", "a", "large", "inflow", "of", "multilingual", ",", "multimedia", "data", "."], ["It", ... | [[[1, 5, "Task"], [29, 32, "Material"]], [[34, 34, "Generic"], [61, 63, "Method"]]] | [[[29, 32, 1, 5, "USED-FOR"]], [[61, 63, 34, 34, "USED-FOR"]]] | N03-4004 | train | [{"sentence": "The TAP-XL Automated Analyst 's Assistant is an application designed to help an English - speaking analyst write a topical report , culling information from a large inflow of multilingual , multimedia data .", "entities": [{"text": "TAP-XL Automated Analyst 's Assistant", "type": "Task"}, {"text": "multi... |
[[[16, 17], [26, 28], [124, 124], [167, 167]], [[19, 20], [30, 30], [126, 128]]] | [["This", "paper", "discusses", "the", "application", "of", "Unification", "Categorial", "Grammar", "-LRB-", "UCG", "-RRB-", "to", "the", "framework", "of", "Isomorphic", "Grammars", "for", "Machine", "Translation", "pioneered", "by", "Landsbergen", "."], ["The", "Isomorphic", "Grammars", "approach", "to", "MT", "invol... | [[[6, 11, "Method"], [16, 17, "Method"], [19, 20, "Task"]], [[26, 28, "Method"], [30, 30, "Task"], [57, 58, "OtherScientificTerm"], [60, 61, "OtherScientificTerm"]], [], [[111, 112, "OtherScientificTerm"], [118, 119, "Method"]], [[124, 124, "Generic"], [126, 128, "Task"], [134, 135, "Task"], [142, 142, "Generic"], [154... | [[[6, 11, 16, 17, "USED-FOR"], [16, 17, 19, 20, "USED-FOR"]], [[26, 28, 30, 30, "USED-FOR"]], [], [], [[124, 124, 126, 128, "USED-FOR"], [124, 124, 134, 135, "USED-FOR"], [126, 128, 134, 135, "CONJUNCTION"], [126, 128, 142, 142, "HYPONYM-OF"], [134, 135, 142, 142, "HYPONYM-OF"]], []] | C88-1007 | train | [{"sentence": "This paper discusses the application of Unification Categorial Grammar -LRB- UCG -RRB- to the framework of Isomorphic Grammars for Machine Translation pioneered by Landsbergen .", "entities": [{"text": "Unification Categorial Grammar -LRB- UCG -RRB-", "type": "Method"}, {"text": "Isomorphic Grammars", "t... |
[[[14, 15], [27, 27]], [[9, 12], [18, 18]], [[8, 12], [73, 76]]] | [["In", "the", "security", "domain", "a", "key", "problem", "is", "identifying", "rare", "behaviours", "of", "interest", "."], ["Training", "examples", "for", "these", "behaviours", "may", "or", "may", "not", "exist", ",", "and", "if", "they", "do", "exist", "there", "will", "be", "few", "examples", ",", "quite", "prob... | [[[2, 3, "Task"], [8, 12, "Task"], [9, 12, "OtherScientificTerm"]], [[14, 15, "Material"], [18, 18, "Generic"], [27, 27, "Generic"]], [[44, 46, "Method"], [50, 50, "OtherScientificTerm"]], [[66, 67, "OtherScientificTerm"], [73, 76, "Task"]], [[83, 84, "OtherScientificTerm"], [91, 92, "Method"]]] | [[[8, 12, 2, 3, "PART-OF"]], [[14, 15, 18, 18, "USED-FOR"]], [[44, 46, 50, 50, "USED-FOR"]], [[66, 67, 73, 76, "USED-FOR"]], []] | ICCV_2011_50_abs | train | [{"sentence": "In the security domain a key problem is identifying rare behaviours of interest .", "entities": [{"text": "security domain", "type": "Task"}, {"text": "identifying rare behaviours of interest", "type": "Task"}, {"text": "rare behaviours of interest", "type": "OtherScientificTerm"}], "relations": [{"head"... |
[[[38, 38], [40, 40]], [[4, 5], [33, 33]]] | [["We", "have", "developed", "a", "computational", "model", "of", "the", "process", "of", "describing", "the", "layout", "of", "an", "apartment", "or", "house", ",", "a", "much-studied", "discourse", "task", "first", "characterized", "linguistically", "by", "Linde", "-LRB-", "1974", "-RRB-", "."], ["The", "model", "is"... | [[[4, 5, "Generic"], [21, 22, "Task"]], [[33, 33, "Generic"], [38, 38, "Generic"], [40, 40, "Method"], [52, 55, "Method"]]] | [[[4, 5, 21, 22, "USED-FOR"]], [[33, 33, 38, 38, "PART-OF"], [52, 55, 40, 40, "USED-FOR"]]] | C88-2130 | train | [{"sentence": "We have developed a computational model of the process of describing the layout of an apartment or house , a much-studied discourse task first characterized linguistically by Linde -LRB- 1974 -RRB- .", "entities": [{"text": "computational model", "type": "Generic"}, {"text": "discourse task", "type": "Ta... |
[[[5, 5], [37, 37]]] | [["This", "paper", "proposes", "a", "practical", "approach", "employing", "n-gram", "models", "and", "error-correction", "rules", "for", "Thai", "key", "prediction", "and", "Thai-English", "language", "identification", "."], ["The", "paper", "also", "proposes", "rule-reduction", "algorithm", "applying", "mutual", "info... | [[[5, 5, "Generic"], [7, 8, "Method"], [10, 11, "Method"], [13, 15, "Task"], [17, 19, "Task"]], [[25, 26, "Method"], [28, 29, "OtherScientificTerm"], [33, 34, "OtherScientificTerm"]], [[37, 37, "Generic"], [43, 43, "Metric"], [46, 47, "Task"], [49, 50, "Task"]]] | [[[5, 5, 13, 15, "USED-FOR"], [5, 5, 17, 19, "USED-FOR"], [7, 8, 5, 5, "USED-FOR"], [7, 8, 10, 11, "CONJUNCTION"], [10, 11, 5, 5, "USED-FOR"], [13, 15, 17, 19, "CONJUNCTION"]], [[28, 29, 25, 26, "USED-FOR"], [28, 29, 33, 34, "USED-FOR"]], [[37, 37, 46, 47, "USED-FOR"], [37, 37, 49, 50, "USED-FOR"], [43, 43, 37, 37, "EV... | H01-1070 | train | [{"sentence": "This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification .", "entities": [{"text": "approach", "type": "Generic"}, {"text": "n-gram models", "type": "Method"}, {"text": "error-correction rules", "type": "M... |
[[[46, 49], [77, 77], [99, 99]], [[8, 10], [16, 16]], [[4, 6], [125, 127]], [[95, 95], [119, 119], [140, 140]]] | [["This", "paper", "concerns", "the", "discourse", "understanding", "process", "in", "spoken", "dialogue", "systems", "."], ["This", "process", "enables", "the", "system", "to", "understand", "user", "utterances", "based", "on", "the", "context", "of", "a", "dialogue", "."], ["Since", "multiple", "candidates", "for", "... | [[[4, 6, "Task"], [8, 10, "Method"]], [[16, 16, "Generic"], [19, 20, "Material"]], [[41, 42, "Material"], [46, 49, "OtherScientificTerm"], [64, 65, "OtherScientificTerm"]], [[77, 77, "Generic"], [84, 86, "Metric"]], [[95, 95, "Generic"], [99, 99, "Generic"], [102, 103, "OtherScientificTerm"], [106, 107, "Material"]], [... | [[[4, 6, 8, 10, "USED-FOR"]], [[16, 16, 19, 20, "USED-FOR"]], [], [], [[95, 95, 99, 99, "USED-FOR"], [102, 103, 95, 95, "USED-FOR"], [106, 107, 102, 103, "USED-FOR"]], [[114, 115, 111, 111, "USED-FOR"]], [[135, 135, 140, 140, "USED-FOR"]]] | P03-1031 | train | [{"sentence": "This paper concerns the discourse understanding process in spoken dialogue systems .", "entities": [{"text": "discourse understanding process", "type": "Task"}, {"text": "spoken dialogue systems", "type": "Method"}], "relations": [{"head": "discourse understanding process", "tail": "spoken dialogue syste... |
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