Le, H.; Abeysinghe, G.; Huyck, C.

A study to improve the efficiency of a discourse parsing system

Conference paper

Le, H., Abeysinghe, G. and Huyck, C. 2003. A study to improve the efficiency of a discourse parsing system. 4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03). Mexico City 16 - 22 Feb 2003 pp. 101-114

Publication dates
Type	Conference paper
Title	A study to improve the efficiency of a discourse parsing system
Authors	Le, H., Abeysinghe, G. and Huyck, C.
Abstract	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).
Research Group	Artificial Intelligence group
Conference	4th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing’03)
Page range	101-114
Print	Feb 2003
Publication process dates
Deposited	25 Mar 2010
Output status	Published
Additional information	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
Web address (URL)	http://www.springerlink.com/content/23ltuwcefpc2wegk/
Language	English

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