Abstract
Analyzing the semantic representations of 10000 Chinese sentences and describing a new sentence analysis method that evaluates semantic preference knowledge, we create a model of semantic representation analysis based on the correspondence between lexical meanings and conceptual structures, and relations that underlie those lexical meanings. We also propose a semantical argument-head relation that combines ‘basic conceptual structure’ and ‘Head-Driven Principle’. With this framework which is different from Fillmore’s case theory (1968) and HPSG among other, we can successfully disambiguate some troublesome sentences, and minimize the redundancy in language knowledge description for natural language processing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baker, C., Fillmore, C., Lower, J.: The Berkeley FrameNet Project. In: Proc. of ACL/COLING 1998 (1998)
Brew, C.: Stochastic HPSG. In: Proc. of 7th Conf. of the Europ. Chapter of the Assoc. for Comput. Linguistics (EACL 1995), pp. 83–89 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tang, L., Ji, D., Nie, Y., Yang, L. (2004). An Application of a Semantic Framework for the Analysis of Chinese Sentences. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-24630-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21006-1
Online ISBN: 978-3-540-24630-5
eBook Packages: Springer Book Archive