An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013

2014/05/28 by Vivekananda Gayen, Gayen, Vivekananda, Kamal Sarkar +1 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #Web Data Mining and Analysis

paper · pdf · doi:10.48550/arxiv.1405.7397

openalex publication_date 2014/05/28 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model has been used to implement our system. The system has been trained and tested on the NLP TOOLS CONTEST: ICON 2013 datasets. Our system obtains F-measures of 0.8599, 0.7704, 0.7520, 0.4289, 0.5455, 0.4466, and 0.4003 for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu respectively.

Cited by

• Part-of-Speech Tagging for Code-mixed Indian Social Media Text at ICON\n 2015

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