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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 1321–1330 of 1729 papers

TitleStatusHype
Transformer++—0
KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog—0
Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets—0
Application of Pre-training Models in Named Entity Recognition—0
Self-attention-based BiGRU and capsule network for named entity recognition—0
A multimodal deep learning approach for named entity recognition from social media—0
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts—0
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language ModelsCode0
Annotating and normalizing biomedical NEs with limited knowledge—0
MedCAT -- Medical Concept Annotation Tool—0
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