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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 1101–1110 of 1729 papers

TitleStatusHype
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
A hybrid deep-learning approach for complex biochemical named entity recognition—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language—0
AlbNER: A Corpus for Named Entity Recognition in Albanian—0
A Lexicon-Based Graph Neural Network for Chinese NER—0
All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations—0
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