An application of lexical semantics annotation to question-answering in e-farming

Abstract

In this poster we present an approach to responding to complex questions in the agriculture domain, from specifications given by experts. 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 documents 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.