A simple DOP model for constituency parsing of Italian sentences

Authors
Publication date 2009
Book title Poster and workshop proceedings of the 11th Conference of the Italian Association for Artificial Intelligence (EVALITA 2009), 12th December 2009, Reggio Emilia, Italy
ISBN
  • 9788890358111
Event 11th Conference of the Italian Association for Artificial Intelligence (EVALITA 2009), Reggio Emilia, Italy
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract We present a simplified Data-Oriented Parsing (DOP) formalism for learning the constituency structure of Italian sentences. In our approach we try to simplify the original DOP methodology by constraining the number and type of fragments we extract from the training corpus. We provide some examples of the types of constructions that occur more often in the treebank, and quantify the performance of our grammar on the constituency parsing task.
Document type Conference contribution
Published at http://evalita.fbk.eu/reports/Parsing/Constituency/CONS_PARS_UNI_AMSTERDAM.pdf
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