An ontological extension on the frames in FrameNet is presented in this paper. The general conceptual relations between frame elements, in conjunction with existing characteristics of this lexical resource, suggest more sophisticated semantic analysis of lexical chains (e.g. predicate chains) exploited in many text understanding applications. In particular, we have investigated its benefit for meaning-aware question answering when combined with an inference strategy. The proposed knowledge representation mechanism on the frame elements of FrameNet has been shown to have an impact on answering natural language questions on the basis of our case analysis.
History
Volume
4830
Pagination
404-414
Location
Gold Coast, Queensland
Start date
2007-12-02
End date
2007-12-06
ISSN
0302-9743
eISSN
1611-3349
ISBN-13
9783540769262
ISBN-10
3540769269
Language
eng
Publication classification
E1.1 Full written paper - refereed, E Conference publication
Copyright notice
2007, Springer-Verlag Berlin Heidelberg
Editor/Contributor(s)
Orgun MA, Thornton J
Title of proceedings
AI 2007 : advances in artificial intelligence : Proceedings of the 20th Australian Joint Conference on Artificial Intelligence