Babelscape
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cner-base

Token Classification

named-entity-recognition

sequence-tagger-model

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g185 commited on Jun 17, 2024

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 # CNER: Concept and Named Entity Recognition
 This is the model card for the NAACL 2024 paper [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/).
-We fine-tuned a language model (DeBERTa-v3-base) for 1 epoch on our [CNER dataset](https://huggingface.co/datasets/Babelscape/cner)
 The resulting CNER model is able to jointly identifying and classifying concepts and named entities with fine-grained tags.
 **If you use the model, please reference this work in your paper**:

 # CNER: Concept and Named Entity Recognition
 This is the model card for the NAACL 2024 paper [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/).
+We fine-tuned a language model (DeBERTa-v3-base) for 1 epoch on our [CNER dataset](https://huggingface.co/datasets/Babelscape/cner) using the default hyperparameters, optimizer and architecture of Hugging Face, therefore the results of this model may differ from the ones presented in the paper.
 The resulting CNER model is able to jointly identifying and classifying concepts and named entities with fine-grained tags.
 **If you use the model, please reference this work in your paper**: