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Unsupervised evalua...
Unsupervised evaluation of parser robustness
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- Bigert, Johnny (author)
- KTH,Numerisk Analys och Datalogi, NADA
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- Sjöbergh, Jonas (author)
- KTH,Numerisk Analys och Datalogi, NADA
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- Knutsson, Ola (author)
- KTH,Numerisk Analys och Datalogi, NADA
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Sahlgren, M. (author)
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2005
- 2005
- English.
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In: COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 3540245235 ; , s. 142-154
- Related links:
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http://ri.diva-porta...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This article describes an automatic evaluation procedure for NLP system robustness under the strain of noisy and ill-formed input. The procedure requires no manual work or annotated resources. It is language and annotation scheme independent and produces reliable estimates on the robustness of NLP systems. The only requirement is an estimate on the NLP system accuracy. The procedure was applied to five parsers, and one part-of-speech tagger on Swedish text. To establish the reliability of the procedure, a comparative evaluation involving annotated resources was carried out on the tagger and three of the parsers.
Subject headings
- NATURVETENSKAP -- Matematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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