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