The Journal of Machine Learning Research
Finding clauses in unrestricted text by finitary and stochastic methods
ANLC '88 Proceedings of the second conference on Applied natural language processing
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Inductive Dependency Parsing (Text, Speech and Language Technology)
Inductive Dependency Parsing (Text, Speech and Language Technology)
Dependency parsing of Japanese spoken monologue based on clause boundaries
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the 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
Empirical measurements of lexical similarity in noun phrase conjuncts
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Combining czech dependency parsers
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Segmentation of complex sentences
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
A probabilistic generative model for an intermediate constituency-dependency representation
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Annotation of sentence structure
Language Resources and Evaluation
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The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are proposed for clause and intraclausal coordination detection. They were included in a new dependency parsing algorithm, PACID. For evaluation, Slovene dependency treebank was used. At parsing, 6.4% and 9.2 % relative error reduction was achieved, compared to the dependency parsers MSTP and Malt, respectively.