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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 211–220 of 1729 papers

TitleStatusHype
A Named Entity Based Approach to Model RecipesCode1
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized RepresentationsCode1
Named Entity Recognition as Dependency ParsingCode1
Named Entity Recognition for Entity Linking: What Works and What’s NextCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Named Entity Recognition without Labelled Data: A Weak Supervision ApproachCode1
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution ShiftsCode1
NERetrieve: Dataset for Next Generation Named Entity Recognition and RetrievalCode1
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda ClassificationCode1
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition DatasetCode1
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