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Automatic Functor Assignment in the Prague Dependency Treebank

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

Abstract

This paper presents work in progress, the goal of which is to develop a module for automatic transition from analytic tree structures to tectogrammatical tree structures within the Prague Dependency Treebank project. Several rule-based and dictionary-based methods were combined in order to be able to make maximal use of both information extractable from the training set and a priori knowledge. The implementation of this approach was verified on a testing set, and a detailed evaluation of the results achieved so far is presented.

I would like to thank my advisor Ivana Kruijff-Korbayová for her permanent support. I am also indebted to Alevtina Bémová for consultations about functor assignment, to Petr Pajas for the help with the data preprocessing and to Julia Hockenmaier for her useful comments.

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References

  1. Böhmová, A., Panevová, J., Sgall, P.: Syntactic Tagging: Procedure for the Transition from the Analytic to the Tectogrammatical Tree Structures. Text, Speech and Dialogue, Springer (1999).

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  2. Hajičová, E., Panevová, J., Sgall, P.: Manuál pro tektogramatické značkováný. ÚFAL MFF UK (1999).

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  3. Panevová, J.: Formy afunkce ve stavbě české věty. Academia (1980).

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  4. Petr Sgall, Eva Hajičova, and Jarmila Panevová: The Meaning of the Sentence in its Semantic and Pragmatic Aspects. Reidel, Dordrecht, The Netherlands (1986).

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© 2000 Springer-Verlag Berlin Heidelberg

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Žabokrtský, Z. (2000). Automatic Functor Assignment in the Prague Dependency Treebank. 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_8

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  • DOI: https://doi.org/10.1007/3-540-45323-7_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

  • eBook Packages: Springer Book Archive

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