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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 51–60 of 1729 papers

TitleStatusHype
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity RecognitionCode0
Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models—0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Beyond the Surface: Uncovering Implicit Locations with LLMs for Personalized Local News—0
Data-Constrained Synthesis of Training Data for De-Identification—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
Small Language Model Makes an Effective Long Text ExtractorCode1
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
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