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Lexical Affinity Measure between Words

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5729))

Abstract

In this paper we research the lexical affinity between words. Our goal is to define a distance measure which corresponds with the semantic affinity between words. This measure is based on WordNet, where two words/concepts can be connected by a string of stepwise synonyms. The number of hops defines the distance between words. In addition we present a natural language processing toolbox, developed in the course of this work, that combines a number of existing tools and adds a number of analysis tools.

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References

  1. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., et al.: Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18, 32–80 (2001)

    Article  Google Scholar 

  2. Carver, C.: Affect and the functional bases of behavior: On the dimensional structure of affective experience. Personality and Social Psychology Review 5, 345–356 (2001)

    Article  Google Scholar 

  3. Miller, G.: An on-line lexical database. International Journal of Lexicography 13(4), 235–312 (1990)

    Article  Google Scholar 

  4. Liu, H., Singh, P.: Commonsense Reasoning in and Over Natural Language. MIT Press, Boston (2004)

    Book  Google Scholar 

  5. Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Massachusetts (1998)

    Google Scholar 

  6. Kamps, J., Marx, M.: Words with attitude. CCSOM Working Paper, pp. 01-194 (2001)

    Google Scholar 

  7. Russell, J., Lanius, U.: Adaptation Level and the Affective Appraisal of Environments. Journal of Environmental Psychology 4, 119–135 (1984)

    Article  Google Scholar 

  8. Whissell, C.: Whissell’s Dictionary of Affect in Language - Technical Manual and User’s Guide

    Google Scholar 

  9. Proxem Antelope: Proxem resources for Natural Language Processing (April 2008), www.proxem.com (retrieved 2008)

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© 2009 Springer-Verlag Berlin Heidelberg

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van Willegen, I., Rothkrantz, L., Wiggers, P. (2009). Lexical Affinity Measure between Words. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2009. Lecture Notes in Computer Science(), vol 5729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04208-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-04208-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04207-2

  • Online ISBN: 978-3-642-04208-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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