Jiří Havelka

Also published as: Jiri Havelka


2007

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Relationship between Non-Projective Edges, Their Level Types, and Well-Nestedness
Jiří Havelka
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

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Beyond Projectivity: Multilingual Evaluation of Constraints and Measures on Non-Projective Structures
Jiří Havelka
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

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Log-Linear Models of Non-Projective Trees, k-best MST Parsing and Tree-Ranking
Keith Hall | Jiří Havelka | David A. Smith
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

2005

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Prague Czech-English dependency treebank: resource for structure-based MT
Martin Čmejrek | Jan Cuřín | Jan Hajič | Jiří Havelka
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

2004

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Condition of Projectivity in the Underlying Dependency Structures
Katerina Veselá | Jiri Havelka | Eva Hajicová
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

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Annotators’ Agreement: The Case of Topic-Focus Articulation
Kateřina Veselá | Jiří Havelka | Eva Hajičová
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

The annotation of the Prague Dependency Treebank (PDT) is conceived of as a multilayered scenario that comprises also dependency representations (tectogrammatical tree structures, TGTS's) of the underlying structure of the sentences. TGTS's capture three basic aspects of the underlying structure of sentences: (a) the dependency tree structure, (b) the kinds of dependency syntactic relations, and (c) the basic characteristics of the topic-focus articulation (TFA). Since the PDT is a large collection and the annotations on the deepest layer are to a large extent performed by several human annotators (based on an automatic preprocessing module), it is more than necessary to observe the consistence of annotators and the agreement among them. In the present paper, we summarize the results of the evaluation of parallel annotations of several samples taken from PDT and the measures accepted to improve the consistency of annotations.

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Prague Czech-English Dependency Treebank. Syntactically Annotated Resources for Machine Translation
Martin Čmejrek | Jan Cuřín | Jiří Havelka | Jan Hajič | Vladislav Kuboň
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Prague Czech-English Dependency Treebank: Any Hopes for a Common Annotation Scheme?
Martin Čmejrek | Jan Cuřín | Jiří Havelka
Proceedings of the Workshop Frontiers in Corpus Annotation at HLT-NAACL 2004

2003

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Czech-English Dependency Tree-based Machine Translation
Martin Čmejrek | Jan Cuřín | Jiří Havelka
10th Conference of the European Chapter of the Association for Computational Linguistics