A study to improve the efficiency of a discourse parsing system
Le, Huong T., Abeysinghe, Geetha and Huyck, Christian R. 
ORCID: https://orcid.org/0000-0003-4015-3549
(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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[Conference or Workshop Item]
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: | A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
| Item ID: | 4715 |
| Useful Links: | |
| Depositing User: | Mrs Sue Black |
| Date Deposited: | 25 Mar 2010 11:48 |
| Last Modified: | 13 Oct 2016 14:18 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/4715 |
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