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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 1051–1060 of 1729 papers

TitleStatusHype
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages—0
Contextual Text Embeddings for Twi—0
Industry Scale Semi-Supervised Learning for Natural Language Understanding—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
TMR: Evaluating NER Recall on Tough Mentions—0
MasakhaNER: Named Entity Recognition for African LanguagesCode1
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions—0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Evaluation of Morphological Embeddings for the Russian Language—0
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