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.

Full text is not in this repository.

Official URL: http://www.springerlink.com/content/23ltuwcefpc2we...

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).

Item Type:Conference or Workshop Item (Paper)
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

Research Areas:School of Science and Technology > Computer and Communications Engineering
ID Code:4715
Useful Links:
Deposited On:25 Mar 2010 11:48
Last Modified:13 May 2014 15:37

Repository staff and depositor only: item control page

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year