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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 351–360 of 1729 papers

TitleStatusHype
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition DatasetCode1
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
A Boundary Offset Prediction Network for Named Entity RecognitionCode0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
NERetrieve: Dataset for Next Generation Named Entity Recognition and RetrievalCode1
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity RecognitionCode1
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition—0
Annotated Job Ads with Named Entity Recognition—0
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained DatasetsCode1
Nonet at SemEval-2023 Task 6: Methodologies for Legal EvaluationCode0
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