| 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 (11), 1-9, 2008 | 398 | 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 | 316 | 2010 |
| 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 | 180 | 2008 |
| Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 179 | 2015 |
| 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 | 155 | 2007 |
| Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages D Seddah, R Tsarfaty, S Kübler, M Candito, J Choi, R Farkas, J Foster, ... Association for Computational Linguistics, 2013 | 154 | 2013 |
| Automatic construction of rule-based ICD-9-CM coding systems R Farkas, G Szarvas BMC bioinformatics 9 (3), 1-9, 2008 | 145 | 2008 |
| 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 | 117 | 2013 |
| 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 | 110 | 2013 |
| A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms G Szarvas, R Farkas, A Kocsor International Conference on Discovery Science, 267-278, 2006 | 106 | 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 | 86 | 2012 |
| 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 | 75 | 2010 |
| Data-driven multilingual coreference resolution using resolver stacking A Björkelund, R Farkas Joint Conference on EMNLP and CoNLL-Shared Task, 49-55, 2012 | 70 | 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 (5), 1-12, 2011 | 64 | 2011 |
| (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 | 48 | 2013 |
| SZTERGAK: Feature engineering for keyphrase extraction G Berend, R Farkas ACL, 2010 | 47 | 2010 |
| A highly accurate Named Entity corpus for Hungarian. G Szarvas, R Farkas, L Felföldi, A Kocsor, J Csirik LREC, 1957-1960, 2006 | 44 | 2006 |
| 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 | 36 | 2014 |
| magyarlanc 2.0: szintaktikai elemzés és felgyorsított szófaji egyértelműsítés J Zsibrita, V Vincze, R Farkas Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2013 | 32 | 2013 |
| Person attribute extraction from the textual parts of web pages I Nagy Acta Cybernetica 20 (3), 419-440, 2012 | 31 | 2012 |
