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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 411–420 of 1729 papers

TitleStatusHype
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph ConstructionCode0
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical DomainCode1
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries—0
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches—0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity RecognitionCode0
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep LearningCode0
DMNER: Biomedical Entity Recognition by Detection and MatchingCode0
Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language—0
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