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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 1621–1630 of 1729 papers

TitleStatusHype
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection—0
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Named Entity Recognition with stack residual LSTM and trainable bias decoding—0
Recognizing irregular entities in biomedical text via deep neural networks—0
Context encoders as a simple but powerful extension of word2vecCode0
Apprentissage d'agents conversationnels pour la gestion de relations clients (Training chatbots for customer relation management)—0
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition—0
Transfer Learning for Named-Entity Recognition with Neural Networks—0
NeuroNER: an easy-to-use program for named-entity recognition based on neural networksCode0
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