Title :
Extension of HVS semantic parser by allowing left-right branching
Author :
Filip Jurcicek;Jan Svec;Ludek Muller
Author_Institution :
Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic
Abstract :
The hidden vector state (HVS) parser is a popular method for semantic parsing. It is used in the language understanding module of the statistical based spoken dialog system. This paper presents an extension of the HVS semantic parser. It enables the parser to generate broader class of semantic trees. This modification can be used to improve the performance of the parser by generating not only the right-branching trees (like original HVS parser) but also limited left-branching trees and their combinations. The extension retains simplicity and properties of the original HVS parser. We tested the method on Czech human-human train timetable corpus. The modified HVS parser yields statistically significant improvement. The accuracy of the system increased from 50.4% to 58.3% absolutely.
Keywords :
"Natural languages","Information retrieval","Automata","Cybernetics","Testing","Cultural differences","Global communication","Maximum a posteriori estimation","Probability","Helium"
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
2379-190X
DOI :
10.1109/ICASSP.2008.4518779