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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
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Annotating and normalizing biomedical NEs with limited knowledge—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition—0
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
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