Abstract
In this paper we describe in detail two dependency parsing techniques developed and evaluated using the Prague Dependency Treebank 2.0. Then we propose two approaches for combining various existing parsers in order to obtain better accuracy. The highest parsing accuracy reported in this paper is 85.84 %, which represents 1.86 % improvement compared to the best single state-of-the-art parser. To our knowledge, no better result achieved on the same data has been published yet.
The research reported on in this paper has been carried out under the projects 1ET101120503, GAČR 207-13/201125, 1ET100300517, and LC 536.
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Holan, T., Žabokrtský, Z. (2006). Combining Czech Dependency Parsers. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_12
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DOI: https://doi.org/10.1007/11846406_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
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