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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 1211–1220 of 1729 papers

TitleStatusHype
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications—0
Information Extraction: An application to the domain of hyper-local financial data on developing countries—0
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches—0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse—0
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Investigating LLM Applications in E-Commerce—0
Invited Presentation—0
Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models—0
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