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Effect of Semantic Differences in WordNet-Based Similarity Measures

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Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6097))

Abstract

Assessing the semantic similarity of words is a generic problem in many research fields such as artificial intelligence, biomedicine, linguistics, cognitive science and psychology. The difficulty of this task lies in how to find an effective way to simulate the process of human judgement of word similarity. In this paper, we introduce the idea of semantic differences and commonalities between words to the similarity computation process. Five new semantic similarity metrics are obtained after applying this scheme to traditional WordNet-based measures. In an experimental evaluation of our approach on a standard 28 word pairs dataset, three of the measures outperformed their classical version, while the other two performed as well as their unmodified counterparts.

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Author information

Authors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi Chiyoda-ku, Tokyo, 101-8430, Japan

    Raúl Ernesto Menéndez-Mora & Ryutaro Ichise

  2. Facultad de Informática y Matemática, Universidad de Holguín, Ave. XX Aniversario, Piedra Blanca, Holguín, 80100, Cuba

    Raúl Ernesto Menéndez-Mora

Authors
  1. Raúl Ernesto Menéndez-Mora
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  2. Ryutaro Ichise
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor,, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2010 Springer-Verlag Berlin Heidelberg

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Menéndez-Mora, R.E., Ichise, R. (2010). Effect of Semantic Differences in WordNet-Based Similarity Measures. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_56

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  • DOI: https://doi.org/10.1007/978-3-642-13025-0_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13024-3

  • Online ISBN: 978-3-642-13025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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