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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 11–20 of 1729 papers

TitleStatusHype
Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?—0
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant AnnotationsCode0
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques—0
LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs—0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Development of a WAZOBIA-Named Entity Recognition System—0
Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
Positional Attention for Efficient BERT-Based Named Entity Recognition—0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
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