Article

The ATIS spoken language systems pilot corpus

Authors:

Charles T. Hemphill,

John J. Godfrey,

George R. DoddingtonAuthors Info & Claims

HLT '90: Proceedings of the workshop on Speech and Natural Language

Pages 96 - 101

https://doi.org/10.3115/116580.116613

Published: 24 June 1990 Publication History

Abstract

Speech research has made tremendous progress in the past using the following paradigm:• define the research problem,• collect a corpus to objectively measure progress, and• solve the research problem.Natural language research, on the other hand, has typically progressed without the benefit of any corpus of data with which to test research hypotheses. We describe the Air Travel Information System (ATIS) pilot corpus, a corpus designed to measure progress in Spoken Language Systems that include both a speech and natural language component. This pilot marks the first full-scale attempt to collect such a corpus and provides guidelines for future efforts.

References

[1]

Boisen, Sean, Lance A. Ramshaw, Damaris Ayuso, and Madeleine Bates, "A Proposal for SLS evaluation," in Proceedings of the DARPA Speech and Natural Language Workshop, October 1989.

Digital Library

Google Scholar

[2]

Hemphill, Charles T., Inderjeet Mani, and Steven L. Bossie, "A Combined Free-Form and Menu-Mode Natural Language Interface", Abridged Proceedings of the Second International Conference on Human-Computer Interaction, Honolulu, Hawaii, 1987.

Google Scholar

[3]

Official Airline Guides, Official Airline Guide, North American Edition with Fares, Oakbrook, Illinois, Volume 16, No. 7, January 1, 1990.

Google Scholar

[4]

Price, P. J., W. M. Fisher, J. Bernstein, D. S. Pallett, "The DARPA 1000-Word Resource Management Database for Continuous Speech Recognition", Proceedings of ICASSP, 1988.

Google Scholar

Cited By

View all

Chen SZhang YYang Q(2024)Multi-Task Learning in Natural Language Processing: An OverviewACM Computing Surveys10.1145/366336356:12(1-32)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3663363
Song YEzzini STang XLothritz CKlein JBissyande TBoytsov ABle UGoujon ARoychoudhury APaiva AAbreu RStorey MAniche MNagappan N(2024)Enhancing Text-to-SQL Translation for Financial System DesignProceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice10.1145/3639477.3639732(252-262)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639477.3639732
Zhu ZCheng XChen ZWang ZHuang ZZou YSerra ESpezzano F(2024)SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language UnderstandingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679676(3570-3580)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679676
Show More Cited By

Index Terms

The ATIS spoken language systems pilot corpus
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Speech recognition
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces

Recommendations

Multiword expressions in spoken language: An exploratory study on pronunciation variation

The study presented in this paper was aimed at exploring the possibilities of modelling specific pronunciation characteristics of multiword expressions (MWEs) for both automatic speech recognition (ASR) and automatic phonetic transcription (APT). For ...
Multiword Expressions Resources for Italian: Presenting a Manually Annotated Spoken Corpus
Text, Speech, and Dialogue
Abstract
Multiword expressions (MWEs) are word combinations that behave like a unit by showing some type of semantic, syntactic or functional idiosyncratic properties. MWEs are a pervasive phenomenon of language, and the importance of their computational ...
Annotations and tools for an activity based Spoken Language Corpus
SIGDIAL '01: Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16

The paper contains a description of the Spoken Language Corpus of Swedish at the Department of Linguistics, Göteborg University (GSLC), and a summary of the various types of analysis and tools that have been developed for work on this corpus. Work on ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

HLT '90: Proceedings of the workshop on Speech and Natural Language

June 1990

450 pages

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 24 June 1990

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 240 of 768 submissions, 31%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

69
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 09 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chen SZhang YYang Q(2024)Multi-Task Learning in Natural Language Processing: An OverviewACM Computing Surveys10.1145/366336356:12(1-32)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3663363
Song YEzzini STang XLothritz CKlein JBissyande TBoytsov ABle UGoujon ARoychoudhury APaiva AAbreu RStorey MAniche MNagappan N(2024)Enhancing Text-to-SQL Translation for Financial System DesignProceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice10.1145/3639477.3639732(252-262)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639477.3639732
Zhu ZCheng XChen ZWang ZHuang ZZou YSerra ESpezzano F(2024)SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language UnderstandingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679676(3570-3580)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679676
Wei XLi YSi YWang LWang XDang J(2024)A Prompt-Based Hierarchical Pipeline for Cross-Domain Slot FillingIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2024.341087732(3061-3075)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TASLP.2024.3410877
Su SChung YChen Y(2024)Joint Dual Learning With Mutual Information Maximization for Natural Language Understanding and Generation in DialoguesIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2024.336406332(2445-2452)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TASLP.2024.3364063
Si SMa WGao HWu YLin TDai YLi HYan RHuang FLi YOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)SpokenWOZProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667821(39088-39118)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667821
Chen CHu YYang CSiniscalchi SChen PChng EOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)HyPoradiseProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667497(31665-31688)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667497
Gunaratna KSrinivasan VJin HFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Explainable and Accurate Natural Language Understanding for Voice Assistants and BeyondProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615277(3913-3917)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615277
Cheng XXu WZhu ZLi HZou YFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive LearningProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615093(326-336)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615093
Hernandez-Bocanegra DZiegler J(2023)Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of InteractivityACM Transactions on Interactive Intelligent Systems10.1145/357954113:2(1-47)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3579541
Show More Cited By

View Options

View options

Get Access

Login options

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

Abstract

References

Cited By

Index Terms

Recommendations

Multiword expressions in spoken language: An exploratory study on pronunciation variation

Multiword Expressions Resources for Italian: Presenting a Manually Annotated Spoken Corpus

Annotations and tools for an activity based Spoken Language Corpus

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations