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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 891–900 of 1729 papers

TitleStatusHype
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition—0
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.—0
Nested Named Entity Recognition with Span-level Graphs—0
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification—0
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials LiteratureCode0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Biomedical NER using Novel Schema and Distant Supervision—0
Named Entity Recognition for Cancer Immunology Research Using Distant Supervision—0
What do we Really Know about State of the Art NER?—0
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual TransferCode0
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