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Richárd Farkas
Richárd Farkas
researcher at University of Szeged
Verified email at inf.u-szeged.hu
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Cited by
Year
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes
V Vincze, G Szarvas, R Farkas, G Móra, J Csirik
BMC bioinformatics 9, 1-9, 2008
5342008
The CoNLL-2010 shared task: learning to detect hedges and their scope in natural language text
R Farkas, V Vincze, G Móra, J Csirik, G Szarvas
Proceedings of the fourteenth conference on computational natural language …, 2010
3962010
Universal Dependencies 1.2
J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ...
Universal Dependencies Consortium, 2015
2472015
The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts
G Szarvas, V Vincze, R Farkas, J Csirik
Proceedings of the workshop on current trends in biomedical natural language …, 2008
2432008
Automatic construction of rule-based ICD-9-CM coding systems
R Farkas, G Szarvas
BMC bioinformatics 9, 1-9, 2008
2272008
Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages
D Seddah, R Tsarfaty, S Kübler, M Candito, JD Choi, R Farkas, J Foster, ...
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically …, 2013
2112013
State-of-the-art anonymization of medical records using an iterative machine learning framework
G Szarvas, R Farkas, R Busa-Fekete
Journal of the American Medical Informatics Association 14 (5), 574-580, 2007
1902007
magyarlanc: A tool for morphological and dependency parsing of hungarian
J Zsibrita, V Vincze, R Farkas
Proceedings of the International Conference Recent Advances in Natural …, 2013
1862013
A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms
G Szarvas, R Farkas, A Kocsor
Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain …, 2006
1802006
Cross-genre and cross-domain detection of semantic uncertainty
G Szarvas, V Vincze, R Farkas, G Móra, I Gurevych
Computational Linguistics 38 (2), 335-367, 2012
1352012
Joint morphological and syntactic analysis for richly inflected languages
B Bohnet, J Nivre, I Boguslavsky, R Farkas, F Ginter, J Hajič
Transactions of the Association for Computational Linguistics 1, 415-428, 2013
1292013
Meta-analysis of adrenocortical tumour genomics data: novel pathogenic pathways revealed
PM Szabo, V Tamasi, V Molnar, M Andrasfalvy, Z Tömböl, R Farkas, ...
Oncogene 29 (21), 3163-3172, 2010
822010
Data-driven multilingual coreference resolution using resolver stacking
A Björkelund, R Farkas
Joint Conference on EMNLP and CoNLL-Shared Task, 49-55, 2012
812012
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus
D Rebholz-Schuhmann, AJ Yepes, C Li, S Kafkas, I Lewin, N Kang, ...
Journal of biomedical semantics 2, 1-12, 2011
772011
A highly accurate Named Entity corpus for Hungarian
G Szarvas, R Farkas, L Felföldi, A Kocsor, J Csirik
annotation 2, 3.1, 2006
652006
SZTERGAK: Feature engineering for keyphrase extraction
G Berend, R Farkas
Proceedings of the 5th international workshop on semantic evaluation, 186-189, 2010
522010
(Re) ranking meets morphosyntax: State-of-the-art results from the SPMRL 2013 shared task
A Björkelund, Ö Çetinoğlu, R Farkas, T Mueller, W Seeker
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically …, 2013
492013
Introducing the ims-wrocław-szeged-cis entry at the spmrl 2014 shared task: Reranking and morpho-syntax meet unlabeled data
A Björkelund, Ö Çetinoğlu, A Falenska, R Farkas, T Mueller, W Seeker, ...
Proceedings of the First Joint Workshop on Statistical Parsing of …, 2014
432014
magyarlanc 2.0: szintaktikai elemzés és felgyorsított szófaji egyértelműsítés
J Zsibrita, V Vincze, R Farkas
Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2013
412013
Knowledge sources for constituent parsing of German, a morphologically rich and less-configurational language
A Fraser, H Schmid, R Farkas, R Wang, H Schütze
Computational Linguistics 39 (1), 57-85, 2013
392013
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