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Dictionary-Based Method for Coherence Maintenance in Man-Machine Dialogue with Indirect Antecedents and Ellipses

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Text, Speech and Dialogue (TSD 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1902))

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Abstract

Resolution of referential ambiguity is one of the most challenging problems of natural language processing. Especially frequently it is faced within dialogues. We present a heuristic algorithm for detection of the indirect antecedents for dialogue phrases based on the use of a dictionary of prototypic scenarios associated with each headword as well as of a thesaurus of the standard type. The conditions for filtration of the candidates for the antecedent are presented. We also present a similar algorithm for reconstruction of elliptical phrases of a special kind using a combinatory dictionary.

Work done under partial support of CONACyT, REDII-CONACyT, and CGEPI-IPN, Mexico.

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Authors and Affiliations

  1. Natural Language Laboratory, Centre for Computing Research (CIC), National Polytechnic Institute (IPN), Av. Juan de Dios Batiz, s/n, esq. Mendizabal, Zacatenco, C.P., 07738, Mexico D.F., Mexico

    Alexander Gelbukh, Grigori Sidorov & Igor A. Bolshakov

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  1. Alexander Gelbukh
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  2. Grigori Sidorov
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  3. Igor A. Bolshakov
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Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics, Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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Gelbukh, A., Sidorov, G., Bolshakov, I.A. (2000). Dictionary-Based Method for Coherence Maintenance in Man-Machine Dialogue with Indirect Antecedents and Ellipses. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_60

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  • DOI: https://doi.org/10.1007/3-540-45323-7_60

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  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

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