Enhancing Best Analysis Selection and Parser Comparison

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This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Informatics. Official publication website can be found on muni.cz.
Authors

HORÁK Aleš SMRŽ Pavel KADLEC Vladimír

Year of publication 2002
Type Article in Proceedings
Conference Proceedings of 5th International Conference on Text, Speech, and Dialogue (TSD 2002)
MU Faculty or unit

Faculty of Informatics

Citation
Web http://nlp.fi.muni.cz/publications/tsd2002_hales_smrz_xkadlec/
Field Use of computers, robotics and its application
Keywords parsing
Description The 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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