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

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.

preprint2014arXivOpen access
Vivekananda GayenKamal Sarkar
Computation and Language
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Open access2 authors1 topic
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Vivekananda GayenKamal Sarkar

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