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

@article{Gayen2013AnHB,
  title={An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013},
  author={Vivekananda Gayen and Kamal Sarkar},
  journal={CoRR},
  year={2013},
  volume={abs/1405.7397}
}
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… CONTINUE READING
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