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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 141–150 of 1729 papers

TitleStatusHype
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Zero-Shot Learning in Named-Entity Recognition with External KnowledgeCode1
Focusing on Potential Named Entities During Active Label AcquisitionCode1
Named Entity Recognition for Entity Linking: What Works and What’s NextCode1
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NERCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
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