György Móra


2012

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Cross-Genre and Cross-Domain Detection of Semantic Uncertainty
György Szarvas | Veronika Vincze | Richárd Farkas | György Móra | Iryna Gurevych
Computational Linguistics, Volume 38, Issue 2 - June 2012

2011

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Domain-Dependent Detection of Light Verb Constructions
István T. Nagy | Gábor Berend | György Móra | Veronika Vincze
Proceedings of the Second Student Research Workshop associated with RANLP 2011

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Inter-domain Opinion Phrase Extraction Based on Feature Augmentation
Gábor Berend | István T. Nagy | György Móra | Veronika Vincze
Proceedings of the Second Student Research Workshop associated with RANLP 2011

2010

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Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Richárd Farkas | Veronika Vincze | György Szarvas | György Móra | János Csirik
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

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The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
Richárd Farkas | Veronika Vincze | György Móra | János Csirik | György Szarvas
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

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Hungarian Dependency Treebank
Veronika Vincze | Dóra Szauter | Attila Almási | György Móra | Zoltán Alexin | János Csirik
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Herein, we present the process of developing the first Hungarian Dependency TreeBank. First, short references are made to dependency grammars we considered important in the development of our Treebank. Second, mention is made of existing dependency corpora for other languages. Third, we present the steps of converting the Szeged Treebank into dependency-tree format: from the originally phrase-structured treebank, we produced dependency trees by automatic conversion, checked and corrected them thereby creating the first manually annotated dependency corpus for Hungarian. We also go into detail about the two major sets of problems, i.e. coordination and predicative nouns and adjectives. Fourth, we give statistics on the treebank: by now, we have completed the annotation of business news, newspaper articles, legal texts and texts in informatics, at the same time, we are planning to convert the entire corpus into dependency tree format. Finally, we give some hints on the applicability of the system: the present database may be utilized ― among others ― in information extraction and machine translation as well.

2009

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Exploring ways beyond the simple supervised learning approach for biological event extraction
György Móra | Richárd Farkas | György Szarvas | Zsolt Molnár
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task