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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 1231–1240 of 1729 papers

TitleStatusHype
Exploring Cross-sentence Contexts for Named Entity Recognition with BERTCode1
Contextualized French Language Models for Biomedical Named Entity Recognition—0
Caract\'erisation des plosives finales dans des langues d'Asie : une \'etude multilingue du non rel\^achement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)—0
R\'e-entra\^ ou entra\^ soi-m\^eme ? Strat\'egies de pr\'e-entra\^ de BERT en domaine m\'edical (Re-train or train from scratch ? Pre-training strategies for BERT in the medical domain )—0
Similarit\'e s\'emantique entre phrases : apprentissage par transfert interlingue (Semantic Sentence Similarity : Multilingual Transfer Learning)—0
Recognizing Chinese Judicial Named Entity using BiLSTM-CRF—0
Noise Robust Named Entity Understanding for Voice Assistants—0
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning—0
End-to-end Named Entity Recognition from English SpeechCode1
Named Entity Recognition as Dependency ParsingCode1
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