Abstract
This paper addresses the task of extracting answers to why and how to-questions from Arabic texts which has not been addressed yet for Arabic language in the field of question answering systems (QA). The system developed here uses one of the leading theories in computational linguistics called Rhetorical Structure Theory (RST) and based on cue phrases to both determine the elementary units and the set of rhetorical relations that is relevant to the targeted questions. Our experiment has been conducted on Arabic raw texts (automatically annotated) taken from Arabic websites and has gave a good result comparing with a one already done before to why-questions answering for English language.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
The Bridge Language Report (2007), http://www.bridgelanguagecenter.com
Benajiba, Y., Rosso, P., Lyhyaoui, A.: Implementation of the Arabic QA Question Answering System’s Computers. In: ICTC (2007)
Hammou, B., Abu-Salem, H., Lytinen, S., Evens, M.: QARAB: A question answering system to support the Arabic language. In: Workshop on Computational Approaches to Semitic Languages, ACL (2002)
Mann, W., Matthiessen, C., Thompson, S.: Rhetorical Structure Theory and Text Analysis. In: A Frame Work for the Analysis of Texts, pp. 79–195 (1992)
Mann, W., Taboada, M.: Rhetorical Structure Theory: Looking back and moving ahead. SAGE. Discourse Studies. 8, 423–459 (2006)
Al-Sanie, W., Touir, A., Mathkour, H.: Towards a Rhetorical Parsing of Arabic Text. In: International Conference on Computational Intelligence for Modeling, Web Technologies and Internet Commerce (CIMCA-IAWTIC 2005) (2005)
Daniel, M.: The Theory and Practice of Discourse Parsing and Summarization. The MIT Press, London (2000)
Jattal, M.: Nezam al-Jumlah, pp. 127–140. Aleppo University (1979)
Haskour, N.: Al-Sababieh fe Tarkeb al-Jumlah Al-Arabih. Aleppo University (1990)
Larkey, L.S., Ballesteros, L., Connell, M.E.: Improving stemming for Arabic information retrieval: Light stemming and co-occurrence analysis. In: 25th SIGIR International Conference Research and Development in Information Retrieval, pp. 275–282. Tampere, Finland (2002)
Khoja, S., Garside, R.: Stemming Arabic Text. Computing Department. Lancaster University, Lancaster (1999)
Al-Shammari, E.: Towards an Error Free Stemming. In: LADIS European Conference on Data Mining (ECDM 2008). The Netherland, Amsterdam (2008)
Suzan, V., Lou, B., Nelleke, O.: Discourse-based answering of why-questions. Treatment Automatic Des Languages, Special Issue on Computational Approaches to Discourse and Document Processing 47(2), 21–41 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Salem, Z., Sadek, J., Chakkour, F., Haskkour, N. (2010). Automatically Finding Answers to "Why" and "How to" Questions for Arabic Language. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-15384-6_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15383-9
Online ISBN: 978-3-642-15384-6
eBook Packages: Computer ScienceComputer Science (R0)