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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 1121–1130 of 1729 papers

TitleStatusHype
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Subword Pooling Makes a DifferenceCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts—0
Priberam Labs at the 3rd Shared Task on SlavNER—0
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages—0
Industry Scale Semi-Supervised Learning for Natural Language Understanding—0
Contextual Text Embeddings for Twi—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
TMR: Evaluating NER Recall on Tough Mentions—0
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