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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 311–320 of 1729 papers

TitleStatusHype
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Data-Constrained Synthesis of Training Data for De-Identification—0
Beyond the Surface: Uncovering Implicit Locations with LLMs for Personalized Local News—0
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition—0
Named entity recognition for Serbian legal documents: Design, methodology and dataset development—0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi—0
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual FrameworkCode0
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach—0
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