Confidence estimation for NLP applications

Confidence estimation for NLP applications

Confidence measures are a practical solution for improving the usefulness of Natural Language Processing applications. Confidence estimation is a generic machine learning approach for deriving confidence measures. We give an overview of the application of confidence estimation in various fields of N...

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Veröffentlicht in:ACM transactions on speech and language processing 2006-10, Vol.3 (3), p.1-29
Hauptverfasser: Gandrabur, Simona, Foster, George, Lapalme, Guy
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container_title ACM transactions on speech and language processing
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creator Gandrabur, Simona
Foster, George
Lapalme, Guy
description Confidence measures are a practical solution for improving the usefulness of Natural Language Processing applications. Confidence estimation is a generic machine learning approach for deriving confidence measures. We give an overview of the application of confidence estimation in various fields of Natural Language Processing, and present experimental results for speech recognition, spoken language understanding, and statistical machine translation.
doi_str_mv 10.1145/1177055.1177057
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title Confidence estimation for NLP applications
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