Abstract
The paper concentrates on deriving non-obvious information about clause structure of complex sentences from the Prague Dependency Treebank. Individual clauses and their mutual relationship are not explicitly annotated in the treebank, therefore it was necessary to develop an automatic method transforming the original annotation concentrating on the syntactic role of individual word forms into a scheme describing the relationship between individual clauses. The task is complicated by a certain degree of inconsistency in original annotation with regard to clauses and their structure. The paper describes the method of deriving clause-related information from the existing annotation and its evaluation.
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References
Fernández, M., de la Clergerie, E., Vilares, M.: Mining Conceptual Graphs for Knowledge Acquisition. In: Proc. of acm cikm Workshop on Improving Non-English Web Searching (inews 2008), Napa Valley, USA, pp. 25–32 (2008) ISBN 978-1-60558-253-5
Hajič, J., Hladká, B.: Probabilistic and Rule-Based Tagger of an Inflective Language – A Comparison. In: Proceedings of the Fifth Conference on Applied Natural Language Processing, Washington, DC, pp. 111–118 (1997)
Hajič, J., Hajičová, E., Pajas, P., Panevová, J., Sgall, P., Vidová-Hladká, B.: Prague Dependency Treebank 1.0 (Final Production Label). In: CD-ROM, Linguistic Data Consortium (2001)
Hajič, J., Panevová, J., Buráňová, E., Urešová, Z., Bémová, A.: Anotace Pražského závislostního korpusu na analytické rovině: pokyny pro anotátory (in Czech) Technical Report No. 28, ÚFAL MFF UK, Prague, Czech Republic (1999)
Hajič, J.: Building a Syntactically Annotated Corpus: The Prague Dependency Treebank. In: Issues of Valency and Meaning, Karolinum, Praha, pp. 106–132 (1998)
Hajič, J., Panevová, J., Buráňová, E., Urešová, Z., Bémová, A.: A Manual for Analytic Layer Tagging of the Prague Dependency Treebank (2001) ISBN 1-58563-212-0
Hajièová, E.: Prague Dependency Treebank: From Analytic to Tectogrammatical Annotations. In: Sojka, P., Matoušek, V., Kopeèek, I. (eds.) Text, Speech, Dialogue, Brno, Masaryk University, pp. 45–50 (1998)
Hajièová, E.: The Prague Dependency Treebank: Crossing the Sentence Boundary. In: Matoušek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds.) Text, Speech and Dialogue, pp. 20–27. Springer, Berlin (1999)
Kuboň, V., Lopatková, M., Plátek, M., Pognan, P.: Segmentation of complex sentences. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2006. LNCS, vol. 4188, pp. 151–158. Springer, Heidelberg (2006)
Zeman, D.: Parsing with a Statistical Dependency, PhD. Thesis, Charles university, Prague (2004)
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Krůza, O., Kuboň, V. (2009). Automatic Extraction of Clause Relationships from a Treebank. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2009. Lecture Notes in Computer Science, vol 5449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00382-0_16
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DOI: https://doi.org/10.1007/978-3-642-00382-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00381-3
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