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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 561–570 of 1729 papers

TitleStatusHype
Approche supervis\'ee \`a base de cellules LSTM bidirectionnelles pour la d\'esambigu\" lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)—0
CAp 2017 challenge: Twitter Named Entity Recognition—0
Apprentissage d'agents conversationnels pour la gestion de relations clients (Training chatbots for customer relation management)—0
A Lexicon-Based Graph Neural Network for Chinese NER—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records—0
Application of Pre-training Models in Named Entity Recognition—0
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
AlbNER: A Corpus for Named Entity Recognition in Albanian—0
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