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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 31–40 of 1729 papers

TitleStatusHype
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
A Unified Generative Framework for Various NER SubtasksCode1
Better Feature Integration for Named Entity RecognitionCode1
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLPCode1
A Neural Span-Based Continual Named Entity Recognition ModelCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
An Effective Transition-based Model for Discontinuous NERCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
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