A knowledge based approach for capturing rich semantic representations from text for intelligent systems
by Peter Z. Yeh, Colin A. Puri, Alex Kass
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 2, No. 1, 2010

Abstract: In this paper, we present a knowledge based approach to capture semantic representations from text for intelligent systems that know the representations of interest in advance. Our approach performs this task by generating phrases from these representations and then matching these phrases against text using a set of syntactic and semantic transformations. The representation that best matches a piece of text is selected as its meaning. We evaluate our approach in the context of a real-world intelligent system that tracks the maturity of wireless technologies, and show how our approach performs well on capturing semantic representations from text.

Online publication date: Mon, 30-Nov-2009

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