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
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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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