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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 1301–1310 of 1729 papers

TitleStatusHype
Improving Neural Named Entity Recognition with GazetteersCode1
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
Med7: a transferable clinical natural language processing model for electronic health recordsCode1
Transformer++—0
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
Detecting Potential Topics In News Using BERT, CRF and WikipediaCode1
KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog—0
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Zero-Resource Cross-Domain Named Entity RecognitionCode1
Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets—0
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