Paper: An Application of Lexical Semantics Annotation to Question-Answering in e-Farming

ACL ID W09-3739
Title An Application of Lexical Semantics Annotation to Question-Answering in e-Farming
Venue International Conference on Computational Semantics
Session Main Conference
Year 2009
Authors
  • Mukda Suktarachan (Nara Institute of Science and Technology, Nara Japan; Kasetsart University, Bangkok Thailand)
  • Patrick Saint-Dizier (Institute of Research in Informatics Toulouse, Toulouse France)

In this poster we present an approach to responding to complex questions in the agriculture domain, from specifications given by ex- perts. We present in particular a semantic annotation procedure that would allow us to define accurate and domain dedicated forms of lexical semantics inference, in order to be able to match non factoid questions (i.e. questions whose response is a significant text portion) with doc- uments on a large scale. This project is designed to help farmers to get advices via question answering on SMS in order to improve rice farming. 1 Challenges and Goals Question answering (Moldovan 2000, Maybury 2004) operates on top of search engines of classical textual database querying tools, by providing a layer that has natural language understanding and generation as well s...