Confidence Estimation for NLP Applications

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TypeArticle
Journal titleACM Transactions on Speech and Language Processing
Subjectalgorithms; design; experimentation; reliability; theory; confidence measures; confidence estimation; statistical machine learning; computer-aided machine translation; speech recognition; spoken language understanding
AbstractConfidence 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.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48755
NPARC number5764359
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Record identifierdd285102-141f-41f9-b131-0e1201574ce1
Record created2009-03-29
Record modified2016-05-09
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