UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English

UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English

Named Entity Recognition (NER) is a fundamental task that identifies and classifies entities into predefined categories from unstructured text. As textual data continues to grow and span diverse linguistic communities, NER is rarely studied as a multilingual task, particularly for low-resource langu...

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Bibliographic Details
Main Authors: Muhammad Ahmad, Humaira Farid, Iqra Ameer, Fida Ullah, Muhammad Muzamil, Muhammad Jalal, Ameer Hamza, Ildar Batyrshin, Grigori Sidorov
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Social media analysis
named entity recognition
LLM
GPT
deep learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/11036786/
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https://ieeexplore.ieee.org/document/11036786/

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