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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 1191–1200 of 1729 papers

TitleStatusHype
Improving Multilingual Models with Language-Clustered Vocabularies—0
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping—0
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning—0
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling—0
Improving Named Entity Transcription with Contextual LLM-based Revision—0
Improving NER for Clinical Texts by Ensemble Approach using Segment Representations—0
Improving NER Models by exploiting Named Entity Gazetteer as External Knowledge—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning—0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
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