Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
QARAB: a question answering system to support the Arabic language
SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
Soft pattern matching models for definitional question answering
ACM Transactions on Information Systems (TOIS)
An automatic definition extraction in Arabic language
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Answering definition questions using web knowledge bases
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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The Web is the most interest information resource available for users, but the issue is how to obtain the precise and the exact information easily and quickly. The classic information retrieval system such as Web search engines can just return snippets and links to Web pages according to a user query. And it is the role of the user to fetch these results and identify the appropriate information. In this paper, we propose dealing with the results returned by Web search engines to return the appropriate information to a user question. The solution proposed is integrated in an Arabic definition question answering system called 'DefArabicQA'. The experiment was carried out using 140 Arabic definition questions and 2360 snippets returned by divers Web search engines. The result obtained so far is very encouraging and it can be outperformed more in the future.