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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 821–830 of 1729 papers

TitleStatusHype
A Noise-Robust Loss for Unlabeled Entity Problem in Named Entity Recognition—0
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource LanguagesCode0
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition—0
Part-of-Speech Tagging of Odia Language Using statistical and Deep Learning-Based Approaches—0
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition—0
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionCode0
OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge—0
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER—0
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