A question answer approach to building semantic memory

Authors:
Basawaraj;Janusz A. Starzyk;Marek Jaszuk
Affiliations:
School of Electrical Engineering and Computer Science, Ohio University, Athens, OH;School of Electrical Engineering and Computer Science, Ohio University, Athens, OH, USA and University of Information Technology and Management, Rzeszow, Poland;University of Information Technology and Management, Rzeszow, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Year:
2012

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Abstract

Semantic memory is an integral part of intelligent systems dealing with natural language processing (NLP). Building these memories is a challenging task. Different approaches have been proposed and tested, using a variety of corpuses. The corpora used to build the semantic memories vary from well structured to highly unstructured. The more structured a corpus, the easier it is to build a semantic memory using it. This is because a structured corpus delivers the NLP system more knowledge about the language and its grammar. In this paper we show how a question answering based approach can be used in learning of concepts and building the semantic memory.