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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 641–650 of 1729 papers

TitleStatusHype
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NERCode1
Razmecheno: Named Entity Recognition from Digital Archive of Diaries “Prozhito”—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling—0
KoCHET: a Korean Cultural Heritage corpus for Entity-related TasksCode1
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition—0
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive LearningCode1
NEAR: Named Entity and Attribute Recognition of clinical concepts—0
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLPCode1
Conversion of Legal Agreements into Smart Legal Contracts using NLP—0
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