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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 1411–1420 of 1729 papers

TitleStatusHype
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Position-Aware Self-Attention based Neural Sequence Labeling—0
Query-Based Named Entity Recognition—0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Neural Architectures for Nested NER through LinearizationCode0
Named Entity Recognition for Nepali LanguageCode0
Simplify the Usage of Lexicon in Chinese NERCode0
Raw-to-End Name Entity Recognition in Social MediaCode0
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition—0
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