as a Foundation of Conversational Intelligence
Toyoaki Nishida · 2013
The long term goal of this research is to build artificial conversation- al intelligence that can set up or participate in the fluent conversational interac- tions as good as people in order to benefit each other. This paper discusses conversation quanta as a foundation of conversational intelligence. In contrast to conversational systems for which much emphasis has been placed on the symbolic processing and algorithms, our approach is data-intensive, allowing for the conversational system to acquire the depth and proficiency in interaction in an incremental fashion, in addition to the broad coverage and robustness.