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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 1261–1270 of 1729 papers

TitleStatusHype
Building Low-Resource NER Models Using Non-Speaker Annotation—0
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Building OCR/NER Test Collections—0
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data—0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records—0
CAp 2017 challenge: Twitter Named Entity Recognition—0
Caract\'erisation des plosives finales dans des langues d'Asie : une \'etude multilingue du non rel\^achement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
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