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Dependency graphs in natural language processing

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Topics in Artificial Intelligence (AI*IA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 992))

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Abstract

The paper illustrates the suitability of the dependency approach in practical applications of NLP. We introduce a compact representation called dependency graph, produced by an all-path left-to-right parser for a dependency grammar. The dependency graph keeps all the syntactic trees of a sentence in a single structure, thus allowing an economy of representation and an easier comparison between the alternative paths for the semantic processor.

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Marco Gori Giovanni Soda

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© 1995 Springer-Verlag Berlin Heidelberg

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Barbero, C., Lombardo, V. (1995). Dependency graphs in natural language processing. In: Gori, M., Soda, G. (eds) Topics in Artificial Intelligence. AI*IA 1995. Lecture Notes in Computer Science, vol 992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60437-5_11

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  • DOI: https://doi.org/10.1007/3-540-60437-5_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60437-2

  • Online ISBN: 978-3-540-47468-5

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