Automatic generation of multi-modal dialogue from text based on discourse structure analysis

Helmut Prendinger*, Paul Piwek, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

In this paper, we propose a novel method for generating engaging multi-modal content automatically from text. Rhetorical Structure Theory (RST) is used to decompose text into discourse units and to identify rhetorical discourse relations between them. Rhetorical relations are then mapped to question-answer pairs in an information preserving way, i.e., the original text and the resulting dialogue convey essentially the same meaning. Finally, the dialogue is "acted out" by two virtual agents. The network of dialogue structures automatically built up during this process, called DialogueNet, can be reused for other purposes, such as personalization or question-answering.

本文言語English
ホスト出版物のタイトルICSC 2007 International Conference on Semantic Computing
ページ27-34
ページ数8
DOI
出版ステータスPublished - 2007
外部発表はい
イベントICSC 2007 International Conference on Semantic Computing - Irvine CA
継続期間: 2007 9 172007 9 19

Other

OtherICSC 2007 International Conference on Semantic Computing
CityIrvine CA
Period07/9/1707/9/19

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • コンピュータ サイエンスの応用

引用スタイル