Abstract
This paper discusses methods enhancing the selection of a “best” parsing tree from the output of natural language syntactic analysis. It presents a method for cutting away redundant parse trees based on the information obtained from a dependency tree-bank corpus.
The effectivity of the enhanced parser is demonstrated by results of inter-system parser comparison. The test were run on the standard evaluation grammars (ATIS, CT and PT), our system outperforms the referential implementations.
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References
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© 2002 Springer-Verlag Berlin Heidelberg
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Horák, A., Kadlec, V., Smrž, P. (2002). Enhancing Best Analysis Selection and Parser Comparison. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_66
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DOI: https://doi.org/10.1007/3-540-46154-X_66
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