- 一般社団法人 人工知能学会
- 人工知能学会論文誌 (ISSN:13460714)
- vol.31, no.1, pp.DSF-E_1-9, 2016-01-06 (Released:2016-01-08)
Characterizing dialogue system utterances is important in making human-computer interaction systems more friendly and human-like. A method is described for achieving this by converting functional expressions according to their generation probabilities, which are calculated for specific characters. Experimental results show that the method can add characteristics of the target profiles (i.e., gender, age and closeness with a conversation partner) to dialogue system utterances and in so doing can generate a large variety of linguistic expressions.