SOTAVerified

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 471–480 of 1729 papers

TitleStatusHype
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
De-Bias for Generative Extraction in Unified NER Task—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
Cloze-driven Pretraining of Self-attention Networks—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Deep CLAS: Deep Contextual Listen, Attend and Spell—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Adaptive Self-training for Neural Sequence Labeling with Few Labels—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
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