Computer Science – Computation and Language
Scientific paper
2010-02-09
International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 1, pp. 95-105, January 2010, USA
Computer Science
Computation and Language
IEEE format, International Journal of Computer Science and Information Security, IJCSIS January 2010, ISSN 1947 5500, http:/
Scientific paper
Rhetorical structure analysis (RSA) explores discourse relations among elementary discourse units (EDUs) in a text. It is very useful in many text processing tasks employing relationships among EDUs such as text understanding, summarization, and question-answering. Thai language with its distinctive linguistic characteristics requires a unique technique. This article proposes an approach for Thai rhetorical structure analysis. First, EDUs are segmented by two hidden Markov models derived from syntactic rules. A rhetorical structure tree is constructed from a clustering technique with its similarity measure derived from Thai semantic rules. Then, a decision tree whose features derived from the semantic rules is used to determine discourse relations.
Sinthupoun Somnuk
Sornil Ohm
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