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 | 540 | 2008 |
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 | 402 | 2010 |
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 251 | 2015 |
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 | 249 | 2008 |
Automatic construction of rule-based ICD-9-CM coding systems R Farkas, G Szarvas BMC bioinformatics 9, 1-9, 2008 | 240 | 2008 |
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 | 214 | 2013 |
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 | 196 | 2007 |
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 | 192 | 2013 |
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 | 184 | 2006 |
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 | 141 | 2012 |
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 | 131 | 2013 |
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 | 82 | 2010 |
Data-driven multilingual coreference resolution using resolver stacking A Björkelund, R Farkas Joint Conference on EMNLP and CoNLL-Shared Task, 49-55, 2012 | 81 | 2012 |
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 | 79 | 2011 |
A highly accurate Named Entity corpus for Hungarian G Szarvas, R Farkas, L Felföldi, A Kocsor, J Csirik annotation 2, 3.1, 2006 | 65 | 2006 |
SZTERGAK: Feature engineering for keyphrase extraction G Berend, R Farkas Proceedings of the 5th international workshop on semantic evaluation, 186-189, 2010 | 53 | 2010 |
(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 | 49 | 2013 |
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 | 43 | 2014 |
magyarlanc 2.0: szintaktikai elemzés és felgyorsított szófaji egyértelműsítés J Zsibrita, V Vincze, R Farkas Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2013 | 41 | 2013 |
E-magyar--A Digital Language Processing System T Váradi, E Simon, B Sass, I Mittelholcz, A Novák, B Indig European Language Resources Association (ELRA), 2018 | 40 | 2018 |