Title :
Mapping Verbal Argument Preferences to Deverbals
Author :
Gurevich, Olga ; Waterman, Scott A.
Author_Institution :
Microsoft / Powerset, San Francisco, CA, USA
Abstract :
We describe an experiment mapping semantic role preferences for transitive verbs to their deverbal nominal forms. The preferences are learned by data mining large parsed corpora. Preferences are modeled for deverbal/argument pairs, falling back to a model for the deverbal alone when sufficient data is not available. Errors in role assignment are reduced by 35%.
Keywords :
computational linguistics; data mining; grammars; natural language processing; data mining; deverbal nominal forms; deverbal pairs; large parsed corpora; semantic role preference mapping; transitive verbs; verbal argument preference mapping; Data mining; Humans; Internet; Knowledge based systems; Natural language processing; Predictive models; Speech; Training data; USA Councils; Wikipedia; data mining; deverbal nouns; natural language processing; semantic role labeling;
Conference_Titel :
Semantic Computing, 2009. ICSC '09. IEEE International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-4962-0
Electronic_ISBN :
978-0-7695-3800-6
DOI :
10.1109/ICSC.2009.88
