Abstract
We discuss the automated construction of a translation mechanism capable of translating from any given textual input into some preferred logical notation. By constructing a syntax tree for the input text, we can augment it with semantic features through a data-flow analysis, in such a way that the parser in the shape of a (DCG) Prolog program may be extracted immediately. Over the years, our methods building on those principles, have been developed so that they seem to be mature for manipulating normal complicated texts meant for human communication now. Here scientific abstracts seem to be very interesting. We shall discuss the analysis of a particular scientific abstract, namely that from an article by M. Sergot et al. [10]. A highly tentative comparison is made with several important alternative approaches, known from the scientific literature.
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References
C. G. Brown and G. Koch, (Eds.), Natural Language Understanding and Logic Programming, III, (North-Holland, 1991).
H. Kamp, U. Reyle, From Discourse to Logic. Kluwer, Amsterdam, 1993.
H. Kangassalo et al., (Eds.), Information Modelling and Knowledge Bases VIII, IOS, 1997.
E. Kawaguchi et al., Toward development of multimedia database system for conversational natural language, 69–84 in [3].
E. Kawaguchi et al., (Eds.), Information Modelling and Knowledge Bases XI, IOS, 2000.
G. Koch, Some perspectives on induction in discourse representation, 318–327, in A. Gelbukh (Ed.), Proceedings of CICLing-2000, Mexico City, Mexico, 2000.
G. Koch, A method for making computational sense of Situation Semantics, 308–317, in A. Gelbukh (Ed.), Proceedings of CICLing-2000, Mexico City, Mexico, 2000.
G. Koch, A method of automated semantic parser generation with an application to language technology, 103–108 in [5].
R.C. Schank, Dynamic Memory, Cambridge University Press, 1982.
M. Sergot et al., The British Nationality Act as a logic program, Communications of the ACM, Vol. 29, no. 5, pp. 370–386.
S. Yoshihara et al., An experiment on Japanese sentence generation from SD-formed semantic data, 205–221 in [5].
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© 2000 Springer-Verlag Berlin Heidelberg
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Koch, G. (2000). A Rigoristic and Automated Analysis of Texts Applied to a Scientific Abstract by Mark Sergot and Others. 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_12
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DOI: https://doi.org/10.1007/3-540-45323-7_12
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