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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 511–520 of 1729 papers

TitleStatusHype
Clinical Trial Information Extraction with BERT—0
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.—0
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction—0
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset—0
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art—0
Clause Attention based on Signal Words Division—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
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