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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 1151–1160 of 1729 papers

TitleStatusHype
Attending to Long-Distance Document Context for Sequence LabelingCode0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsCode0
Enhance Robustness of Sequence Labelling with Masked Adversarial Training—0
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
Entity Enhanced BERT Pre-training for Chinese NER—0
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction—0
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
Improving Named Entity Recognition with Attentive Ensemble of Syntactic InformationCode1
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