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From CyberBrain to Q&A Services: A Development of Question-Answering Services System for the Farmer through the SMS

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada (electronic only)  711P0409e.(doi:10.13031/2013.29091)
Authors:   Asanee Kawtrakul, Mukda Suktarachan, Patthrawan Rattanamanee, Patrick Saint Dizier, Sudarin Rodmanee, Saovakon Laovayanon, Decha Jenkollop, Anan Pusittigul
Keywords:   Keyword. Natural Language Understanding, Question-Answering System, Annotation Guidelines, Personalized Information Services.

The Question-Answering Services System proposed in this article is designed to help farmers to get advices on SMS. It operates on top of search engines or on classical textual database querying tools by providing a layer that has natural language understanding and generation functions as well as some reasoning capabilities in order to provide users with responses. This is particularly crucial when there is no straightforward response. In this paper, we show how annotation guidelines can be developed to model the semantics of What, Why and How queries and Answer in texts based on semantic roles. Finally, we show how these annotations and inference rule contribute to the generalization of the matching system over semantic categories in order to have a large scale question-answering system.

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