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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 711–720 of 1729 papers

TitleStatusHype
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
Data-Constrained Synthesis of Training Data for De-Identification—0
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
Data Cleaning Tools for Token Classification Tasks—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains—0
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