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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 1621–1630 of 1729 papers

TitleStatusHype
On-the-Job Learning with Bayesian Decision TheoryCode0
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity RecognitionCode0
Different Tastes of Entities: Investigating Human Label Variation in Named Entity AnnotationsCode0
Learning Named Entity Tagger using Domain-Specific DictionaryCode0
On the Use of External Data for Spoken Named Entity RecognitionCode0
Sentence-Level Resampling for Named Entity RecognitionCode0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity RecognitionCode0
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art DomainCode0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
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