Retrieving descriptive phrases from large amounts of free text
Proceedings of the ninth international conference on Information and knowledge management
Large scale testing of a descriptive phrase finder
HLT '01 Proceedings of the first international conference on Human language technology research
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Learning to identify single-snippet answers to definition questions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Soft pattern matching models for definitional question answering
ACM Transactions on Information Systems (TOIS)
Extraction of definitions using grammar-enhanced machine learning
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Evolutionary algorithms for definition extraction
WDE '09 Proceedings of the 1st Workshop on Definition Extraction
Answering definition questions using web knowledge bases
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
How to extract Arabic definitions from the web? Arabic definition question answering system
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
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During the last few years, a lot of researches have focused on automatic definition extraction in the context of question answering systems. Although, these researches have been conducted for different languages, no research has been proposed for Arabic. In this paper, we tackle the automatic definition extraction in the context of Question Answering systems. We propose a method based on patterns to automatically identify a definition answer to a definition question. The proposed method is implemented in an Arabic definitional question answering system. We experimented this system using a set of 50 definition questions, and a corpus of 2000 snippets collected from the Web. The obtained results are very encouraging: 94% of the definition questions have complete definitions among their first 5 answers.