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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 1231–1240 of 1729 papers

TitleStatusHype
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers—0
KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog—0
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition—0
Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content—0
Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice—0
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency—0
Knowledge Guided Named Entity Recognition for BioMedical Text—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition—0
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning—0
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