A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Non-projective dependency parsing using spanning tree algorithms
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Improving parsing accuracy by combining diverse dependency parsers
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Intraclausal Coordination and Clause Detection as a Preprocessing Step to Dependency Parsing
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Dependency and phrasal parsers of the Czech language: a comparison
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Feature engineering in maximum spanning tree dependency parser
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Syntactic analysis using finite patterns: a new parsing system for Czech
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Annotation of sentence structure
Language Resources and Evaluation
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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.