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
Type | Conference paper |
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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 |
Publication dates | |
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 |
https://repository.mdx.ac.uk/item/826wq
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