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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 1641–1650 of 1729 papers

TitleStatusHype
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature VectorsCode0
Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia—0
CharNER: Character-Level Named Entity RecognitionCode0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMsCode0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets—0
Learning to Search for Recognizing Named Entities in Twitter—0
Learning to recognise named entities in tweets by exploiting weakly labelled data—0
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