Automatic expressive opinion sentence generation for enjoyable conversational systems

Yoichi Matsuyama, Akihiro Saito, Shinya Fujie, Tetsunori Kobayashi

研究成果: Article

4 引用 (Scopus)

抄録

In terms of functional conversations, Grice's Maxim of Quantity suggests that responses should contain no more information than was explicitly asked for. However, in our daily conversations, more informative response skills are usually employed in order to hold enjoyable conversations with interlocutors. These responses are usually produced as forms of one's additional opinions, which usually contain their original viewpoints as well as novel means of expression, rather than simple and common responses characteristic of the general public. In this paper, we propose automatic expressive opinion sentence generation mechanisms for enjoyable conversational systems. The generated opinions are extracted from a large number of reviews on the web, and ranked in terms of contextual relevance, length of sentences, and amount of information represented by the frequency of adjectives. The sentence generator also has an additional phrasing skill. Three controlled lab experiments were conducted, where subjects were requested to read generated sentences and watch videos filmed about conversations between the robot and a person. The results implied that mechanisms effectively promote users' enjoyment and interests.

元の言語English
記事番号6924789
ページ(範囲)313-326
ページ数14
ジャーナルIEEE/ACM Transactions on Speech and Language Processing
23
発行部数2
DOI
出版物ステータスPublished - 2015 2 1

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conversation
sentences
Robots
Experiments
robot
robots
clocks
Person
generators
video
Robot
Generator
human being
experiment
Experiment
Skills

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Media Technology
  • Acoustics and Ultrasonics
  • Instrumentation
  • Linguistics and Language
  • Speech and Hearing

これを引用

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