SOTAVerified

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

Showing 91100 of 1729 papers

TitleStatusHype
Incorporating Context into Subword VocabulariesCode1
Deep Span Representations for Named Entity RecognitionCode1
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity RecognitionCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NERCode1
KoCHET: a Korean Cultural Heritage corpus for Entity-related TasksCode1
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive LearningCode1
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLPCode1
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