An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1405.7397 شماره
صفحات -
تاریخ انتشار 2013