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A Semi Supervised Dialog Act Tagging for TeluguAuthors: suman.d ,Radhika Mamidi Conference: 12th International Conference on Natural Language Processing(ICON) Location Indian Institute of Information Technology and Management-Kerala (IIITM-K) Trivandrum, India Date: 2015-12-11 Report no: IIIT/TR/2015/64 AbstractIn a task oriented domain, recognizing the intention of a speaker is important so that the conversation can proceed in the correct direction. This is possi- ble only if there is a way of labeling the utterance with its proper intent. One such labeling techniques is Dia- log Act (DA) tagging. This work focuses on discussing various n-gram DA tagging techniques. In this paper, a new method is proposed for DA tagging in Telugu using n-gram karakas with back-off as n-gram language modeling technique at n-gram level and Memory Based Learning at utterance level. The results show that the proposed method is on par with manual DA tagging Full paper: pdf Centre for Language Technologies Research Centre |
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