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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 981–990 of 1729 papers

TitleStatusHype
Transfer Learning for Named-Entity Recognition with Neural Networks—0
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model—0
Transfer Learning for Sequences via Learning to Collocate—0
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task—0
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese—0
Transformer++—0
Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia—0
"Translation can't change a name": Using Multilingual Data for Named Entity Recognition—0
Transliteration: A Simple Technique For Improving Multilingual Language Modeling—0
TRIDIS: A Comprehensive Medieval and Early Modern Corpus for HTR and NER—0
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