Abstract
This paper presents a formalization of the summary generation process, which takes a set of observed facts as input and generates its summary in the form of natural language text. Our assumption is that human summarization process consists of the following four phrases : (1) reconstructing the original semantic structure in his/her mind from observed facts, (2) extracting the characteristic facts from the reconstructed structure, (3) constructing the surface structure of text in the macroscopic view and finally (4) generating a natural language text from the surface structure. Our system generates newspaper-like texts in the domain of baseball games. The implementation is also briefly presented.
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© 1989 Springer-Verlag Berlin Heidelberg
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Tamura, N., Kamio, T., Kurosaki, M. (1989). Extraction of characteristic facts and abstract generation. In: Furukawa, K., Tanaka, H., Fujisaki, T. (eds) Logic Programming '88. LP 1988. Lecture Notes in Computer Science, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51564-X_65
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DOI: https://doi.org/10.1007/3-540-51564-X_65
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