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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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