Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system

Satoshi Ikeda, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We developed a robust domain selection method and verified its extensibility. An issue in domain selection is its robustness against out-of-grammar utterances. It is essential to generate correct system responses because such utterances often cause domain selection errors. We therefore integrated the topic estimation results and the dialogue history to construct a robust domain classifier. Another issue is that domain selection should be performed within an extensible framework, because the system is often modified and extended. That is, the classifier should still have high performance without reconstructing it after adding new domains. The extensibility of our method was not experimentally verified yet, because it requires a lot of effort to collect new dialogue data after extending the system. Therefore, we verified extensibility without collecting new data. We constructed the classifier by leaving out some domains in the dialogue data and then evaluated its accuracy as the classifier for the data where the left-out domains were virtually added.

Original languageEnglish
Title of host publicationProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Pages487-490
Number of pages4
Publication statusPublished - 2008
Externally publishedYes
EventINTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia
Duration: 2008 Sep 222008 Sep 26

Other

OtherINTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association
CountryAustralia
CityBrisbane, QLD
Period08/9/2208/9/26

Fingerprint

Classifiers
History

Keywords

  • Domain selection
  • Multi-domain spoken dialogue system
  • Out-of-grammar utterance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Sensory Systems

Cite this

Ikeda, S., Komatani, K., Ogata, T., & Okuno, H. G. (2008). Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 487-490)

Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system. / Ikeda, Satoshi; Komatani, Kazunori; Ogata, Tetsuya; Okuno, Hiroshi G.

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2008. p. 487-490.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ikeda, S, Komatani, K, Ogata, T & Okuno, HG 2008, Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system. in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. pp. 487-490, INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association, Brisbane, QLD, Australia, 08/9/22.
Ikeda S, Komatani K, Ogata T, Okuno HG. Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2008. p. 487-490
Ikeda, Satoshi ; Komatani, Kazunori ; Ogata, Tetsuya ; Okuno, Hiroshi G. / Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2008. pp. 487-490
@inproceedings{ea87c0cb80ca4a07a1f62ed11c0104a0,
title = "Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system",
abstract = "We developed a robust domain selection method and verified its extensibility. An issue in domain selection is its robustness against out-of-grammar utterances. It is essential to generate correct system responses because such utterances often cause domain selection errors. We therefore integrated the topic estimation results and the dialogue history to construct a robust domain classifier. Another issue is that domain selection should be performed within an extensible framework, because the system is often modified and extended. That is, the classifier should still have high performance without reconstructing it after adding new domains. The extensibility of our method was not experimentally verified yet, because it requires a lot of effort to collect new dialogue data after extending the system. Therefore, we verified extensibility without collecting new data. We constructed the classifier by leaving out some domains in the dialogue data and then evaluated its accuracy as the classifier for the data where the left-out domains were virtually added.",
keywords = "Domain selection, Multi-domain spoken dialogue system, Out-of-grammar utterance",
author = "Satoshi Ikeda and Kazunori Komatani and Tetsuya Ogata and Okuno, {Hiroshi G.}",
year = "2008",
language = "English",
pages = "487--490",
booktitle = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

}

TY - GEN

T1 - Extensibility verification of robust domain selection against out-of-grammar utterances in multi-domain spoken dialogue system

AU - Ikeda, Satoshi

AU - Komatani, Kazunori

AU - Ogata, Tetsuya

AU - Okuno, Hiroshi G.

PY - 2008

Y1 - 2008

N2 - We developed a robust domain selection method and verified its extensibility. An issue in domain selection is its robustness against out-of-grammar utterances. It is essential to generate correct system responses because such utterances often cause domain selection errors. We therefore integrated the topic estimation results and the dialogue history to construct a robust domain classifier. Another issue is that domain selection should be performed within an extensible framework, because the system is often modified and extended. That is, the classifier should still have high performance without reconstructing it after adding new domains. The extensibility of our method was not experimentally verified yet, because it requires a lot of effort to collect new dialogue data after extending the system. Therefore, we verified extensibility without collecting new data. We constructed the classifier by leaving out some domains in the dialogue data and then evaluated its accuracy as the classifier for the data where the left-out domains were virtually added.

AB - We developed a robust domain selection method and verified its extensibility. An issue in domain selection is its robustness against out-of-grammar utterances. It is essential to generate correct system responses because such utterances often cause domain selection errors. We therefore integrated the topic estimation results and the dialogue history to construct a robust domain classifier. Another issue is that domain selection should be performed within an extensible framework, because the system is often modified and extended. That is, the classifier should still have high performance without reconstructing it after adding new domains. The extensibility of our method was not experimentally verified yet, because it requires a lot of effort to collect new dialogue data after extending the system. Therefore, we verified extensibility without collecting new data. We constructed the classifier by leaving out some domains in the dialogue data and then evaluated its accuracy as the classifier for the data where the left-out domains were virtually added.

KW - Domain selection

KW - Multi-domain spoken dialogue system

KW - Out-of-grammar utterance

UR - http://www.scopus.com/inward/record.url?scp=84867213811&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867213811&partnerID=8YFLogxK

M3 - Conference contribution

SP - 487

EP - 490

BT - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

ER -