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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 41–50 of 1729 papers

TitleStatusHype
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP—0
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
NERCat: Fine-Tuning for Enhanced Named Entity Recognition in CatalanCode0
Generative AI for Named Entity Recognition in Low-Resource Language Nepali—0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition—0
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report EvaluationCode0
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
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