A joint intention-based dialogue engine

Rajah Annamalai Subramanian, Philip Cohen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper we discuss some of the advantages of using a joint intention-based interpreter for building spoken dialogue systems. We describe STAPLE [1], a joint-intention interpreter that enables a system to obtain team and communicative behavior automatically without having to program this behavior explicitly. With this approach there is no necessity for a programmer to indicate when a question should be posed, when information should be shared etc. The interpreter enables the agents to exhibit team-oriented dialogue by interpreting the constructs of Joint Intention Theory(JIT) along with first principles reasoning over a formal semantics of communicative acts [2, 3]. We try to show that STAPLE can subsume and extend the finite-state and frame-based dialogue approaches available today from commercial dialogue systems. In particular, we show how STAPLE can handle over-answering, dynamic environment changes and teamwork in a general domain independent manner.

Original languageEnglish
Title of host publicationINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
PublisherInternational Speech Communication Association
Pages1782-1785
Number of pages4
ISBN (Print)9781604234497
Publication statusPublished - 1 Jan 2006
Externally publishedYes
EventAnnual Conference of the International Speech Communication Association (was Eurospeech) 2006 - Pittsburgh, United States of America
Duration: 17 Sep 200621 Sep 2006
Conference number: 7th

Publication series

NameINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Volume4

Conference

ConferenceAnnual Conference of the International Speech Communication Association (was Eurospeech) 2006
Abbreviated titleInterspeech 2006
Country/TerritoryUnited States of America
CityPittsburgh
Period17/09/0621/09/06

Keywords

  • Collaborative -dialogue
  • Joint-intention
  • Multi-agent systems
  • Speech-acts
  • Teamwork

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