A study to improve the efficiency of a discourse parsing system
Le, Huong T. and Abeysinghe, Geetha and Huyck, Christian R. (2003) A study to improve the efficiency of a discourse parsing system. In: 4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03), 16-22 February 2003, Mexico City.
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Official URL: http://www.springerlink.com/content/23ltuwcefpc2we...
This paper presents a study of the implementation of a discourse parsing system, where only significant features are considered. Rhetorical relations are recognized based on three types of cue phrases (the normal cue phrases, Noun-Phrase cues and Verb-Phrase cues), and different textual coherence devices. The parsing algorithm and its rule set are developed in order to create a system with high accuracy and low complexity. The data used in this system are taken from the RST Discourse Treebank of the Linguistic Data Consortium (LDC).
|Item Type:||Conference or Workshop Item (Paper)|
Published in the proceedings by Springer Verlag/Heidelberg, LNCS series, Computational Linguistics and Intelligent Text Processing, ISBN: 9783540005322. DOI: 10.1007/3-540-36456-0_11
|Research Areas:||A. > School of Science and Technology > Computer Science|
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Deposited On:||25 Mar 2010 11:48|
|Last Modified:||13 Oct 2015 10:15|
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