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Multi-site data collection and evaluation in spoken language understanding

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TLDR
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.
Abstract
The Air Travel Information System (ATIS) domain serves as the common task for DARPA spoken language system research and development The approaches and results possible in this rapidly growing area are structured by available corpora, annotations of that data, and evaluation methods Coordination of this crucial infrastructure is the charter of the Multi-Site ATIS Data COllection Working group (MADCOW) We focus 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

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References
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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

Procedure for quantitatively comparing the syntactic coverage of English grammars

TL;DR: The problem of quantitatively comparing the performance of different broad-coverage grammars of English has to date resisted solution as discussed by the authors, which is a problem that has been resisted solution.
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.
Proceedings ArticleDOI

Benchmark tests for the DARPA Spoken Language Program

TL;DR: These tests were reported on and discussed in detail at the Spoken Language Systems Technology Workshop held at the Massachusetts Institute of Technology, January 20-22, 1993.
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