Paper Info
Title
Thai text coherence structuring with coordinating and subordinating relations for text summarization
Abstract
Text summarization with the consideration of coherence can be achieved by using discourse processing with the Rhetorical Structure Theory (RST). Additional problems on relational ambiguity may arise, especially in Thai. For example, the use of cue words, i.e. "tae/???" (meaning "but"), can be identified as a contrast relation or an elaboration relation. Therefore, we propose the reduction of the ambiguity level by reducing the relation types to two, namely Coordinating and Subordinating relation. Our framework is to concentrate on coherence structuring which requires the following 3 steps: (1) identify an attachment point for an incoming discourse unit by using our Adaptive Right-frontier algorithm; (2) extract Coordinating and Subordinating relations through the identification of linguistic coherence features in the lexical and phrasal level, using Bayesian techniques; (3) construct coherence tree structures, The accuracy is 70.45% for the first step, 77.47% and 79.89% for COR and SUBR extraction respectively in the second step and 64.94% in constructing coherent tree of the third.
Year
DOI
Venue
2007
10.1007/978-3-540-74255-5_34
CONTEXT
Keywords
Field
DocType
discourse processing,subordinating relation,elaboration relation,contrast relation,coherence tree structure,ambiguity level,thai text coherence structure,coherence structure,text summarization,linguistic coherence feature,relation type,coherent tree,coherent structures,tree structure
Discourse relation,Automatic summarization,Rhetorical Structure Theory,Computer science,Coherence (physics),Natural language processing,Tree structure,Artificial intelligence,Structuring,Ambiguity,Discourse marker
Conference
Volume
ISSN
Citations 
4635
0302-9743
2
PageRank 
References 
Authors
0.38
8
3
Name
Order
Citations
PageRank
Thana Sukvaree150.90
asanee kawtrakul216125.90
Jean Caelen36916.80