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A Model for Identifying the Underlying Logical Structure of Natural Language

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

This paper introduces a model for identifying the underlying logical arguments, such as logical subject, of predicates, namely verbs, in sentences. The model’s features are selected based on lexico-syntactic and shallow semantic principles. Reported results are promising.

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References

  1. Korhonen, A., Gorrell, G., McCarthy, D.: Statistical filtering and subcategorization frame acquisition. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, Hong Kong

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  2. Rus, V.: High Precision Logic Form Transformation. In: Proceedings of the International Conference with Tools in Artificial Intelligence, Dallas, TX, November 2001, IEEE Computer Society, Los Alamitos (2001)

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Author information

Authors and Affiliations

  1. Indiana University, South Bend, IN, 46634, USA

    Vasile Rus

  2. Southern Methodist University, Dallas, TX, 75205, USA

    Alex Fit-Florea

Authors
  1. Vasile Rus
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  2. Alex Fit-Florea
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

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© 2004 Springer-Verlag Berlin Heidelberg

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Rus, V., Fit-Florea, A. (2004). A Model for Identifying the Underlying Logical Structure of Natural Language. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_122

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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