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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 741–750 of 1729 papers

TitleStatusHype
Named Entity Recognition for Cancer Immunology Research Using Distant Supervision—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition—0
Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts—0
Pretrained Biomedical Language Models for Clinical NLP in SpanishCode1
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples—0
Biomedical NER using Novel Schema and Distant Supervision—0
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials LiteratureCode0
What do we Really Know about State of the Art NER?—0
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