DocumentCode :
2550304
Title :
Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge
Author :
Dligach, Dmitriy ; Palmer, Martha
Author_Institution :
Dept. of Comput. Sci., Colorado Univ., Boulder, CO
fYear :
2008
fDate :
4-7 Aug. 2008
Firstpage :
182
Lastpage :
189
Abstract :
We propose a novel method for extracting semantic information about a verb´s arguments and apply it to verb sense disambiguation (VSD). We contrast this method with two popular approaches to retrieving the same kind of information and show that it improves the performance of our VSD system and outperforms the other two approaches.
Keywords :
dictionaries; information retrieval; knowledge management; word processing; information retrieval; semantic knowledge retrieval; verb sense disambiguation; Computer science; Data mining; Dictionaries; Feature extraction; Gold; Humans; Information retrieval; Robustness; Supervised learning; Training data; Semantic Knowledge; Word Sense Disambiguation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing, 2008 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-3279-0
Electronic_ISBN :
978-0-7695-3279-0
Type :
conf
DOI :
10.1109/ICSC.2008.48
Filename :
4597190
Link To Document :
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