Semi-supervised Algorithm for Human-Computer Dialogue Mining
نویسندگان
چکیده
This paper describes the analysis of weak local coherence utterances during humancomputer conversation through the application of an emergent data mining technique, data crystallization. Results reveal that by adding utterances with weak local relevance the performance of a baseline conversational partner, in terms of user satisfaction, showed betterment.
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