DocumentCode :
2471118
Title :
Towards noun-driven parsing
Author :
Stuart, Lauren M. ; Taylor, Julia M. ; Raskin, Victor
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
1984
Lastpage :
1989
Abstract :
Natural language understanding systems are increasingly needed for intuitive, efficient interaction with large information stores. The object-centered nature of these stores - that they encode states, attributes, and relationships of objects - may not be best served by the current verb-driven syntactic paradigm. We develop a highly-parallelizable noun-driven syntax in response, and evaluate its performance against that of other syntactic paradigms through a series of search queries rooted in basic processing operations.
Keywords :
natural language processing; parallel processing; query processing; highly-parallelizable noun-driven syntax; information stores; natural language understanding systems; noun-driven parsing; object attributes; object relationship; object state; search queries; verb-driven syntactic paradigm; Grammar; Humans; Natural language processing; Privacy; Semantics; Syntactics; natural language processing; natural language understanding; noun-centered syntax; parallel processing; syntax;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6378029
Filename :
6378029
Link To Document :
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