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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 731–740 of 1729 papers

TitleStatusHype
End-to-end named entity extraction from speech—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—0
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Annotating and normalizing biomedical NEs with limited knowledge—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
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