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Popular approaches of opinion-based recommender system utilize various techniques including text mining , information retrieval , sentiment analysis ( see also Multimodal sentiment analysis ) and deep learning X.Y. Feng , H. Zhang , Y.J. Ren , P.H. Shang , Y. Zhu , Y.C. Liang , R.C. Guan , D. Xu , ( 2019 ) , , 21 ( 5 )...
{ "entities": { "product": [ { "text": "opinion-based recommender system", "start": 22, "end": 54 } ], "field": [ { "text": "text mining", "start": 92, "end": 103 }, { "text": "deep learning", "start": 196, ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Advocates of procedural representations were mainly centered at MIT , under the leadership of Marvin Minsky and Seymour Papert .
{ "entities": { "university": [ { "text": "MIT", "start": 64, "end": 67 } ], "researcher": [ { "text": "Marvin Minsky", "start": 94, "end": 107 }, { "text": "Seymour Papert", "start": 112, "end": 126 ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
The standard interface and calculator interface are written in Java .
{ "entities": { "programming language": [ { "text": "Java", "start": 63, "end": 67 } ] }, "relations": {} }
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Octave helps in solving linear and nonlinear problems numerically , and for performing other numerical experiments using a that is mostly compatible with MATLAB .
{ "entities": { "product": [ { "text": "Octave", "start": 0, "end": 6 }, { "text": "MATLAB", "start": 154, "end": 160 } ] }, "relations": { "related to": [ { "head": { "text": "Octave", "start": 0...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Variants of the back-propagation algorithm as well as unsupervised methods by Geoff Hinton and colleagues at the University of Toronto can be used to train deep , highly nonlinear neural architectures , { { cite journal
{ "entities": { "algorithm": [ { "text": "back-propagation algorithm", "start": 16, "end": 42 } ], "miscellaneous": [ { "text": "unsupervised methods", "start": 54, "end": 74 } ], "researcher": [ { "text": "Geoff...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
or equivalently using DCG notation :
{ "entities": { "metrics": [ { "text": "DCG", "start": 22, "end": 25 } ] }, "relations": {} }
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Self-organizing maps differ from other artificial neural networks as they apply competitive learning as opposed to error-correction learning such as backpropagation with gradient descent ) , and in the sense that they use a neighborhood function to preserve the topological properties of the input space .
{ "entities": { "algorithm": [ { "text": "Self-organizing maps", "start": 0, "end": 20 }, { "text": "artificial neural networks", "start": 39, "end": 65 }, { "text": "competitive learning", "start": 80, "end": 10...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Since the early 1990s , it has been recommended by several authorities , including the Audio Engineering Society that measurements of dynamic range be made with an audio signal present , which is then filtered out in the noise floor measurement used in determining dynamic range . This avoids questionable measurements b...
{ "entities": { "organization": [ { "text": "Audio Engineering Society", "start": 87, "end": 112 } ], "miscellaneous": [ { "text": "audio signal", "start": 164, "end": 176 } ], "metrics": [ { "text": "noise floor...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition : handwriting recognition , lip reading , voice recognition , sign language / hand gestures interpretation and medical imaging analysis .
{ "entities": { "miscellaneous": [ { "text": "eigenfaces", "start": 31, "end": 41 } ], "task": [ { "text": "face recognition", "start": 97, "end": 113 }, { "text": "handwriting recognition", "start": 116, ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
The National Science Foundation was an umbrella for the National Aeronautics and Space Administration ( NASA ) , the US Department of Energy , the US Department of Commerce NIST , the US Department of Defense , Defense Advanced Research Projects Agency ( DARPA ) , and the Office of Naval Research coordinated studies to...
{ "entities": { "organization": [ { "text": "National Science Foundation", "start": 4, "end": 31 }, { "text": "National Aeronautics and Space Administration", "start": 56, "end": 101 }, { "text": "NASA", "start": 104, ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
A fast method for computing maximum likelihood estimates for the probit model was proposed by Ronald Fisher as an appendix to Bliss ' work in 1935 .
{ "entities": { "metrics": [ { "text": "maximum likelihood", "start": 28, "end": 46 } ], "algorithm": [ { "text": "probit model", "start": 65, "end": 77 } ], "researcher": [ { "text": "Ronald Fisher", "st...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Several of these programs are available online , such as Google Translate and the SYSTRAN system that powers AltaVista 's BabelFish ( now Yahoo 's Babelfish as of 9 May 2008 ) .
{ "entities": { "product": [ { "text": "Google Translate", "start": 57, "end": 73 }, { "text": "SYSTRAN system", "start": 82, "end": 96 }, { "text": "BabelFish", "start": 122, "end": 131 }, { ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
In 2002 Hutter , with Jürgen Schmidhuber and Shane Legg , developed and published a mathematical theory of artificial general intelligence based on idealised intelligent agents and reward-motivated reinforcement learning .
{ "entities": { "researcher": [ { "text": "Hutter", "start": 8, "end": 14 }, { "text": "Jürgen Schmidhuber", "start": 22, "end": 40 }, { "text": "Shane Legg", "start": 45, "end": 55 } ], "field": [ ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
The most common way is using the so-called ROUGE ( Recall-Oriented Understudy for Gisting Evaluation ) measure .
{ "entities": { "metrics": [ { "text": "ROUGE", "start": 43, "end": 48 }, { "text": "Recall-Oriented Understudy for Gisting Evaluation", "start": 51, "end": 100 } ] }, "relations": { "named": [ { "head": { ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
RapidMiner provides learning schemes , models and algorithms and can be extended using R and Python scripts . David Norris , Bloor Research , November 13 , 2013 .
{ "entities": { "product": [ { "text": "RapidMiner", "start": 0, "end": 10 } ], "programming language": [ { "text": "R", "start": 87, "end": 88 }, { "text": "Python", "start": 93, "end": 99 } ],...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
tity contains a collection of visualization tools and algorithms for data analysis and predictive modeling , together with graphical user interfaces for easy access to these functions. but the more recent fully Java -based version ( Weka 3 ) , for which development started in 1997 , is now used in many different applic...
{ "entities": { "product": [ { "text": "tity", "start": 0, "end": 4 }, { "text": "Weka 3", "start": 233, "end": 239 } ], "field": [ { "text": "data analysis", "start": 69, "end": 82 } ], "ta...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Eurisko made many interesting discoveries and enjoyed significant acclaim , with his paper Heuretics : Theoretical and Study of Heuristic Rules winning the Best Paper award at the 1982 Association for the Advancement of Artificial Intelligence .
{ "entities": { "product": [ { "text": "Eurisko", "start": 0, "end": 7 } ], "miscellaneous": [ { "text": "Heuretics : Theoretical and Study of Heuristic Rules", "start": 91, "end": 143 }, { "text": "Best Paper award", ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
To allow for multiple entities , a separate Hinge loss is computed for each capsule .
{ "entities": { "metrics": [ { "text": "Hinge loss", "start": 44, "end": 54 } ] }, "relations": {} }
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
With the emergence of conversational assistants such as Apple 's Siri , Amazon Alexa , Google Assistant , Microsoft Cortana , and Samsung 's Bixby , Voice Portals can now be accessed through mobile devices and Far Field voice smart speakers such as the Amazon Echo and Google Home .
{ "entities": { "product": [ { "text": "Apple 's Siri", "start": 56, "end": 69 }, { "text": "Amazon Alexa", "start": 72, "end": 84 }, { "text": "Google Assistant", "start": 87, "end": 103 }, { ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Examples of supervised learning are Naive Bayes classifier , Support vector machine , mixtures of Gaussians , and network .
{ "entities": { "field": [ { "text": "supervised learning", "start": 12, "end": 31 } ], "algorithm": [ { "text": "Naive Bayes classifier", "start": 36, "end": 58 }, { "text": "Support vector machine", "start": 61...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
One can use the OSD algorithm to derive math O ( \ sqrt { T } ) / math regret bounds for the online version of Support vector machine for classification , which use the hinge loss math v _ t ( w ) = \ max \ { 0 , 1 - y _ t ( w \ cdot x _ t ) \ } / math
{ "entities": { "algorithm": [ { "text": "OSD algorithm", "start": 16, "end": 29 }, { "text": "Support vector machine", "start": 111, "end": 133 } ], "task": [ { "text": "classification", "start": 138, "e...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Applications include object recognition , robotic mapping and navigation , image stitching , 3D modeling , gesture recognition , video tracking , individual identification of wildlife and match moving .
{ "entities": { "task": [ { "text": "object recognition", "start": 21, "end": 39 }, { "text": "robotic mapping", "start": 42, "end": 57 }, { "text": "navigation", "start": 62, "end": 72 }, { "...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
A number of groups and companies are researching pose estimation , including groups at Brown University , Carnegie Mellon University , MPI Saarbruecken , Stanford University , the University of California , San Diego , the University of Toronto , the École Centrale Paris , ETH Zurich , National University of Sciences a...
{ "entities": { "task": [ { "text": "pose estimation", "start": 49, "end": 64 } ], "university": [ { "text": "Brown University", "start": 87, "end": 103 }, { "text": "Carnegie Mellon University", "start": 106, ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Sigmoid function Cross entropy loss is used for predicting K independent probability values in math 0,1 / math .
{ "entities": { "metrics": [ { "text": "Sigmoid function Cross entropy loss", "start": 0, "end": 35 } ] }, "relations": {} }
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
He held the Johann Bernoulli Chair of Mathematics and Informatics at the University of Groningen in the Netherlands , and the Toshiba Endowed Chair at the Tokyo Institute of Technology in Japan before becoming Professor at Cambridge .
{ "entities": { "miscellaneous": [ { "text": "Johann Bernoulli Chair", "start": 12, "end": 34 }, { "text": "Toshiba Endowed Chair", "start": 126, "end": 147 } ], "field": [ { "text": "Mathematics", "start": 38, ...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Another technique particularly used for recurrent neural network s is the long short-term memory ( LSTM ) network of 1997 by Sepp Hochreiter & Jürgen Schmidhuber .
{ "entities": { "algorithm": [ { "text": "recurrent neural network", "start": 40, "end": 64 }, { "text": "long short-term memory", "start": 74, "end": 96 }, { "text": "LSTM", "start": 99, "end": 103 } ]...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
The inclusion of a C + + interpreter ( CINT until version 5.34 , Cling from version 6 ) makes this package very versatile as it can be used in interactive , scripted and compiled modes in a manner similar to commercial products like MATLAB .
{ "entities": { "programming language": [ { "text": "C + +", "start": 19, "end": 24 } ], "product": [ { "text": "CINT", "start": 39, "end": 43 }, { "text": "Cling", "start": 65, "end": 70 }, {...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
Voice user interfaces that interpret and manage conversational state are challenging to design due to the inherent difficulty of integrating complex natural language processing tasks like coreference resolution , named-entity recognition , information retrieval , and dialog management .
{ "entities": { "product": [ { "text": "Voice user interfaces", "start": 0, "end": 21 } ], "field": [ { "text": "natural language processing", "start": 149, "end": 176 } ], "task": [ { "text": "coreference resolu...
{ "entities": [ { "label": "field", "description": "Research fields, such as machine learning, deep learning, and natural language processing.", "description_source": "official" }, { "label": "task", "description": "Specific tasks within research fields, such as machine trans...
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CrossRE

CrossRE (named entity recognition and relation extraction), rebuilt for MNEB from the original release with character-level offsets.

Source: https://github.com/mainlp/CrossRE (commit a58885fa, crossre_data/<domain>-{train,dev,test}.json)

config split records
ai train 100
ai validation 350
ai test 431
literature train 100
literature validation 400
literature test 416
music train 100
music validation 350
music test 399
news train 164
news validation 350
news test 400
politics train 101
politics validation 350
politics test 400
science train 103
science validation 351
science test 400

Labels

entities: field, task, product, algorithm, researcher, metrics, university, country, person, organization, location, programming language, conference, miscellaneous, academic journal, event

relations: part of, physical, usage, role, social, general affiliation, compare, temporal, artifact, origin, topic, opposite, cause and effect, win or defeat, type of, named, related to

Format

Each record has input (the text), output (gold annotations grouped by label) and schema (the label set with descriptions). Offsets are character offsets into input, half-open [start, end).

"output": {
  "entities":  {"<label>": [{"text", "start", "end"}]},
  "relations": {"<label>": [{"head": {"text", "start", "end"},
                             "tail": {"text", "start", "end"}}]},
  "events":    {"<label>": [{"trigger": {"text", "start", "end"},
                             "arguments": [{"role", "text", "start", "end"}]}]}
}

Each schema item has a description and a description_source: official when adapted from the dataset's paper or guideline, mneb when written for MNEB. Relation datasets also give setting (end_to_end or gold_entity) and negative_label; relation items give symmetric. Event items list the roles valid for that event type.

Within a record, identical annotations are kept once and outer whitespace is trimmed from spans; source annotations are otherwise kept as annotated.

Notes

  • One config per domain (ai, literature, music, news, politics, science); sentence level.
  • Input is the source tokens joined with single spaces. Entity descriptions follow CrossNER; relation descriptions are adapted from the CrossRE annotation guidelines.
  • The Exp/Un/SA relation metadata is not kept.

Build

Built by scripts/datasets/cross_re.py in the MNEB repository.

Citation

Bassignana and Plank (2022), CrossRE: A Cross-Domain Dataset for Relation Extraction. Findings of EMNLP.

License: gpl-3.0

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