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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 1251–1260 of 1729 papers

TitleStatusHype
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition—0
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning—0
Boundary Smoothing for Named Entity Recognition—0
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English—0
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer—0
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources—0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
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