German Verb Subcategorisation Database extracted from MATE Dependency Parses
Silke Scheible, Sabine Schulte im Walde, Marion Weller, Max Kisselew
Based on the SubCat-Extractor, we induced verb subcategorisation information from German MATE dependency parses. The subcategorisation database is represented in a compact but linguistically detailed and flexible format, comprising various aspects of verb information, complement information and sentence information, within a one-line-per-clause style.
So far, we have applied the SubCat-Extractor to the German web corpus SdeWaC (Faaß and Eckart, 2013), which contains approx. 880 million words, and a Wikipedia dump from April 10, 2011, containing approx. 430 million
Silke Scheible, Sabine Schulte im Walde, Marion Weller, Max Kisselew:
A Compact but Linguistically Detailed Database for German Verb Subcategorisation relying on Dependency Parses from a Web Corpus: Tool, Guidelines and Ressouce.
In: Proceedings of the 8th Web as Corpus Workshop. Lancaster, UK, July 2013.
The verb subcategorisation database is freely available for education, research and other non-commercial purposes. Please contact the SemRel group to obtain the database.
Sabine Schulte im WaldeProf. Dr.
Akademische Rätin (Associate Professor)