The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
QARAB: a question answering system to support the Arabic language
SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
Towards a Rhetorical Parsing of Arabic Text
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
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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.