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A Question Answer Approach to Building Semantic Memory

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Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

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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.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Ohio University, Athens, OH, USA

    Basawaraj & Janusz A. Starzyk

  2. University of Information Technology and Management, Rzeszow, Poland

    Janusz A. Starzyk & Marek Jaszuk

Authors
  1. Basawaraj
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  2. Janusz A. Starzyk
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  3. Marek Jaszuk
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Basawaraj, Starzyk, J.A., Jaszuk, M. (2012). A Question Answer Approach to Building Semantic Memory. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_84

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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