Article

Free access

The CommandTalk spoken dialogue system

Authors:

Amanda Stent,

John Dowding,

Jean Mark Gawron,

Elizabeth Owen Bratt,

Robert MooreAuthors Info & Claims

ACL '99: Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics

Pages 183 - 190

https://doi.org/10.3115/1034678.1034713

Published: 20 June 1999 Publication History

PDF eReader

References

[1]

F. Andry. 1992. Static and Dynamic Predictions: A Method to Improve Speech Understanding in Cooperative Dialogues. In Proceedings of the International Conference on Spoken Language Processing, Banff, Canada.

Google Scholar

[2]

H. Bratt, J. Dowding, and K. Hunicke-Smith. 1995. The SRI Telephone ATIS System. In Proceedings of the Spoken Language Systems Technology Workshop, pages 218--220, Austin, Texas.

Google Scholar

[3]

A. Ceranowicz. 1994. Modular Semi-Automated Forces. In J. D. Tew et al., editor, Proceedings of the Winter Simulation Conference, pages 755--761.

Digital Library

Google Scholar

[4]

J. Chu-Carroll and M. Brown. 1997. Tracking Initiative in Collaborative Dialogue Interactions. In Proceedings of the Thirty-Fifth Annual Meeting of the ACL and 8th Conference of the European Chapter of the ACL, Madrid, Spain.

Digital Library

Google Scholar

[5]

P. Cohen, M. Johnston, D. McGee, S. Oviatt, J. Pittman, I. Smith, L. Chen, and J. Clow. 1997. QuickSet: Multimodal Interaction for Distributed Applications. In Proceedings of the Fifth Annual International Multimodal Conference, Seattle, WA.

Digital Library

Google Scholar

[6]

J. Dowding, J. Gawron, D. Appelt, L. Cherny, R. Moore, and D. Moran. 1993. Gemini: A Natural Language System for Spoken Language Understanding. In Proceedings of the Thirty-First Annual Meeting of the ACL, Columbus, OH. Association for Computational Linguistics.

Digital Library

Google Scholar

[7]

J. Dowding, R. Moore, F. Andry, and D. Moran. 1994. Interleaving Syntax and Semantics in an Efficient Bottom-Up Parser. In Proceedings of the Thirty-Second Annual Meeting of the ACL, Las Cruces, New Mexico. Association for Computational Linguistics.

Digital Library

Google Scholar

[8]

G. Ferguson and J. Allen. 1998. TRIPS: An Intelligent Integrated Problem-Solving Assistant. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), Madison, WI.

Digital Library

Google Scholar

[9]

B. Grosz and C. Sidner. 1986. Attention, Intentions, and the Structure of Discourse. Computational Linguistics, 12(3): 175--204.

Digital Library

Google Scholar

[10]

D. Litman, S. Pan, and M. Walker. 1998. Evaluating Response Strategies in a Web-Based Spoken Dialogue Agent. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, pages 780--786, Montreal, Canada.

Digital Library

Google Scholar

[11]

MADCOW. 1992. Multi-Site Data Collection for a Spoken Language Corpus. In Proceedings of the DARPA Speech and Natural Language Workshop, pages 200--203, Harriman, New York.

Digital Library

Google Scholar

[12]

D. Martin, A. Cheyer, and D. Moran. 1998. Building Distributed Software Systems with the Open Agent Architecture. In Proceedings of the Third International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology, Blackpool, Lancashire, UK. The Practical Application Company Ltd.

Google Scholar

[13]

D. McGee, P. Cohen, and S. Oviatt. 1998. Confirmation in Multimodal Systems. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, pages 823--829, Montreal, Canada.

Digital Library

Google Scholar

[14]

R. Moore, J. Dowding, H. Bratt, J. Gawron, Y. Gorfu, and A. Cheyer. 1997. CommandTalk: A Spoken-Language Interface for Battlefield Simulations. In Proceedings of the Fifth Conference on Applied Natural Language Processing, pages 1--7, Washington, DC. Association for Computational Linguistics.

Digital Library

Google Scholar

[15]

R. Moore. 1999. Using Natural Language Knowledge Sources in Speech Recognition. In Keith Ponting, editor, Speech Pattern Processing. Springer-Verlag.

Google Scholar

[16]

S. M. Shieber, G. van Noord, R. Moore, and F. Pereira. 1990. A Semantic Head-Driven Generation Algorithm for Unification-Based Formalisms. Computational Linguistics, 16(1), March.

Digital Library

Google Scholar

[17]

M. Walker, J. Fromer, and S. Narayanan. 1998. Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, pages 1345--1351, Montreal, Canada.

Digital Library

Google Scholar

Cited By

View all

Wu SKaggal VSavova GLiu HZheng JChapman WChute CDligach DBouamrane MTao C(2011)Generality and reuse in a common type system for clinical natural language processingProceedings of the first international workshop on Managing interoperability and complexity in health systems10.1145/2064747.2064755(27-34)Online publication date: 28-Oct-2011
https://dl.acm.org/doi/10.1145/2064747.2064755
Plhák J(2010)A context-based grammar generation in mixed initiative dialogue system for visually impairedProceedings of the 12th international conference on Computers helping people with special needs10.5555/1880751.1880811(354-360)Online publication date: 14-Jul-2010
https://dl.acm.org/doi/10.5555/1880751.1880811
Narita TKitamura Y(2010)Persuasive conversational agent with persuasion tacticsProceedings of the 5th international conference on Persuasive Technology10.1007/978-3-642-13226-1_4(15-26)Online publication date: 7-Jun-2010
https://dl.acm.org/doi/10.1007/978-3-642-13226-1_4
Show More Cited By

The CommandTalk spoken dialogue system
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

Recommendations

Automatically training a problematic dialogue predictor for a spoken dialogue system

Spoken dialogue systems promise efficient and natural access to a large variety of information sources and services from any phone. However, current spoken dialogue systems are deficient in their strategies for preventing, identifying and repairing ...
Human-robot collaborative tutoring using multiparty multimodal spoken dialogue
HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

In this paper, we describe a project that explores a novel experimental setup towards building a spoken, multi-modally rich, and human-like multiparty tutoring robot. A human-robot interaction setup is designed, and a human-human dialogue corpus is ...
Discourse Marker Use in Task-Oriented Spoken Dialog

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACL '99: Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics

June 1999

642 pages

ISBN:1558606093

Program Chairs:
Robert Dale,
Ken Church

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 20 June 1999

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 85 of 443 submissions, 19%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

29
Total Citations
View Citations
369
Total Downloads

Downloads (Last 12 months)26
Downloads (Last 6 weeks)5

Reflects downloads up to 01 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Wu SKaggal VSavova GLiu HZheng JChapman WChute CDligach DBouamrane MTao C(2011)Generality and reuse in a common type system for clinical natural language processingProceedings of the first international workshop on Managing interoperability and complexity in health systems10.1145/2064747.2064755(27-34)Online publication date: 28-Oct-2011
https://dl.acm.org/doi/10.1145/2064747.2064755
Plhák J(2010)A context-based grammar generation in mixed initiative dialogue system for visually impairedProceedings of the 12th international conference on Computers helping people with special needs10.5555/1880751.1880811(354-360)Online publication date: 14-Jul-2010
https://dl.acm.org/doi/10.5555/1880751.1880811
Narita TKitamura Y(2010)Persuasive conversational agent with persuasion tacticsProceedings of the 5th international conference on Persuasive Technology10.1007/978-3-642-13226-1_4(15-26)Online publication date: 7-Jun-2010
https://dl.acm.org/doi/10.1007/978-3-642-13226-1_4
Gruenstein AMcGraw IBadr IDigalakis VPotamianos ATurk MPieraccini RIvanov Y(2008)The WAMI toolkit for developing, deploying, and evaluating web-accessible multimodal interfacesProceedings of the 10th international conference on Multimodal interfaces10.1145/1452392.1452420(141-148)Online publication date: 20-Oct-2008
https://dl.acm.org/doi/10.1145/1452392.1452420
Basili RDe Cao DGiannone C(2007)Ontological modeling for interactive question answeringProceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I10.5555/1780909.1781002(544-553)Online publication date: 25-Nov-2007
https://dl.acm.org/doi/10.5555/1780909.1781002
Chai JPrasov ZQu S(2006)Cognitive principles in robust multimodal interpretationJournal of Artificial Intelligence Research10.5555/1622572.162257527:1(55-83)Online publication date: 1-Sep-2006
https://dl.acm.org/doi/10.5555/1622572.1622575
Kemke C(2006)Natural language communication between human and artificial agentsProceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems10.1007/11802372_11(84-93)Online publication date: 7-Aug-2006
https://dl.acm.org/doi/10.1007/11802372_11
Leong LKobayashi SKoshizuka NSakamura KSt. Amant RRiedl JJameson A(2005)CASISProceedings of the 10th international conference on Intelligent user interfaces10.1145/1040830.1040880(231-238)Online publication date: 10-Jan-2005
https://dl.acm.org/doi/10.1145/1040830.1040880
Thompson CGöker MLangley P(2004)A personalized system for conversational recommendationsJournal of Artificial Intelligence Research10.5555/1622467.162247921:1(393-428)Online publication date: 1-Mar-2004
https://dl.acm.org/doi/10.5555/1622467.1622479
Chai JHong PZhou MPrasov ZScott D(2004)Optimization in multimodal interpretationProceedings of the 42nd Annual Meeting on Association for Computational Linguistics10.3115/1218955.1218956(1-es)Online publication date: 21-Jul-2004
https://dl.acm.org/doi/10.3115/1218955.1218956
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Recommendations

Automatically training a problematic dialogue predictor for a spoken dialogue system

Human-robot collaborative tutoring using multiparty multimodal spoken dialogue

Discourse Marker Use in Task-Oriented Spoken Dialog

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations