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Expanding the scope of the ATIS task: the ATIS-3 corpus

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TLDR
The migration of the ATIS task to a richer relational database and development corpus (ATIS-3) and the ATis-3 corpus is described, including breakdowns of data by type (e.g. context-independent, context-dependent, and unevaluable) and variations in the data collected at different sites.
Abstract
The Air Travel Information System (ATIS) domain serves as the common evaluation task for ARPA spoken language system developers. To support this task, the Multi-Site ATIS Data COllection Working group (MADCOW) coordinates data collection activities. This paper describes recent MADCOW activities. In particular, this paper describes the migration of the ATIS task to a richer relational database and development corpus (ATIS-3) and describes the ATIS-3 corpus. The expanded database, which includes information on 46 US and Canadian cities and 23,457 flights, was released in the fall of 1992, and data collection for the ATIS-3 corpus began shortly thereafter. The ATIS-3 corpus now consists of a total of 8297 released training utterances and 3211 utterances reserved for testing, collected at BBN, CMU, MIT, NIST and SRI. 2906 of the training utterances have been annotated with the correct information from the database. This paper describes the ATIS-3 corpus in detail, including breakdowns of data by type (e.g. context-independent, context-dependent, and unevaluable)and variations in the data collected at different sites. This paper also includes a description of the ATIS-3 database. Finally, we discuss future data collection and evaluation plans.

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References
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Proceedings ArticleDOI

The ATIS spoken language systems pilot corpus

TL;DR: This pilot marks the first full-scale attempt to collect a corpus to measure progress in Spoken Language Systems that include both a speech and natural language component and provides guidelines for future efforts.
Proceedings ArticleDOI

Evaluation of spoken language systems: the ATIS domain

Patti Price
TL;DR: This paper will address the emerging standards for evaluation of spoken language systems with quantifiable measures essential for comparing results and assessing claims.
Proceedings ArticleDOI

Multi-site data collection and evaluation in spoken language understanding

TL;DR: This work focuses here on selection of training and test data, evaluation of language understanding, and the continuing search for evaluation methods that will correlate well with expected performance of the technology in applications.
Proceedings ArticleDOI

Multi-site data collection for a spoken language corpus

TL;DR: A recently collected spoken language corpus for the ATIS (Air Travel Information System) domain is described and the motivation for this effort, the goals, the implementation of a multi-site data collection paradigm, and the accomplishments of MADCOW are summarized.
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