Detecting Annotation Errors in a Corpus by Induction of Syntactic Patterns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00008945" target="_blank" >RIV/00216224:14330/03:00008945 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detecting Annotation Errors in a Corpus by Induction of Syntactic Patterns
Original language description
This paper brings a new method for acquisition of syntactic patterns capable of detecting errors in annotated corpora. These patterns are acquired semi-automatically, by means of an inductive logic programming (relational data mining) system followed bya human expert supervision. The patterns acquired have been used for automatic detection and subsequent manual correction of the annotation errors found in DESAM, a morphologically annotated corpus of written Czech.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech and Dialogue: Sixth International Conference, TSD 2003
ISBN
3-540-200-24-X
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
74-81
Publisher name
Springer Verlag
Place of publication
Berlin
Event location
České Budějovice, Czech republic
Event date
Sep 9, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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