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International Conference on Artificial Neural Networks

ICANN 2008: Artificial Neural Networks - ICANN 2008 pp 443–452Cite as

A Corpus-Based Computational Model of Metaphor Understanding Incorporating Dynamic Interaction

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5164))

Abstract

The purpose of this study is to construct a computational model of metaphor understanding based on statistical corpora analysis. The constructed model consists of two processes: a categorization process and a dynamic interaction process. The model expresses features based not only on adjectives but also on verbs using adjective-noun and three types of verb-noun modification data. The dynamic interaction is realized based on a recurrent neural network employing differential equations. Generally, in recurrent neural networks, differential equations are converged using a sigmoid function. However, it is difficult to compare the estimated meaning of the metaphor to the estimated meaning of the target which is represented with conditional probabilities computed through statistical language analysis. In the present model, the differential equations converge over time, which makes it possible to compare the estimated meaning. Accordingly, the constructed model is able to highlight the emphasized features of a metaphorical expression. Finally, a psychological experiment is conducted in order to verify the psychological validity of the constructed model of metaphor understanding. The results from the psychological experiment support the constructed model.

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Authors and Affiliations

  1. Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro, Tokyo, 152-8550, Japan

    Asuka Terai & Masanori Nakagawa

Authors
  1. Asuka Terai
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  2. Masanori Nakagawa
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Véra Kůrková Roman Neruda Jan Koutník

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© 2008 Springer-Verlag Berlin Heidelberg

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Terai, A., Nakagawa, M. (2008). A Corpus-Based Computational Model of Metaphor Understanding Incorporating Dynamic Interaction. In: Kůrková, V., Neruda, R., Koutník, J. (eds) Artificial Neural Networks - ICANN 2008. ICANN 2008. Lecture Notes in Computer Science, vol 5164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87559-8_46

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  • DOI: https://doi.org/10.1007/978-3-540-87559-8_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87558-1

  • Online ISBN: 978-3-540-87559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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