| 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 | 459 | 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 | 353 | 2010 |
| What helps where–and why? semantic relatedness for knowledge transfer M Rohrbach, M Stark, G Szarvas, I Gurevych, B Schiele 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 344 | 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 | 198 | 2008 |
| Automatic construction of rule-based ICD-9-CM coding systems R Farkas, G Szarvas BMC bioinformatics 9 (3), 1-9, 2008 | 178 | 2008 |
| 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 | 167 | 2007 |
| 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 | 137 | 2006 |
| Hedge classification in biomedical texts with a weakly supervised selection of keywords G Szarvas Proceedings of acl-08: HLT, 281-289, 2008 | 114 | 2008 |
| 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 | 109 | 2012 |
| Methods and results of the Hungarian WordNet project M Miháltz, C Hatvani, J Kuti, G Szarvas, J Csirik, G Prószéky, T Váradi Proceedings of GWC 2008, 4th, 2007 | 87 | 2007 |
| A highly accurate Named Entity corpus for Hungarian G Szarvas, R Farkas, L Felfoldi, A Kocsor, J Csirik Proceedings of the Fifth International Conference on Language Resources and …, 2006 | 57 | 2006 |
| Supervised all-words lexical substitution using delexicalized features G Szarvas, C Biemann, I Gurevych Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 43 | 2013 |
| An apple-to-apple comparison of learning-to-rank algorithms in terms of normalized discounted cumulative gain R Busa-Fekete, G Szarvas, T Elteto, B Kégl ECAI 2012-20th European Conference on Artificial Intelligence: Preference …, 2012 | 42 | 2012 |
| The multilingual Amazon reviews corpus P Keung, Y Lu, G Szarvas, NA Smith arXiv preprint arXiv:2010.02573, 2020 | 37 | 2020 |
| Mining multiword terms from Wikipedia S Hartmann, G Szarvas, I Gurevych Semi-Automatic Ontology Development: Processes and Resources, 226-258, 2012 | 36 | 2012 |
| Combining query translation techniques to improve cross-language information retrieval B Herbert, G Szarvas, I Gurevych European Conference on Information Retrieval, 712-715, 2011 | 28 | 2011 |
| Semi-automated construction of decision rules to predict morbidities from clinical texts R Farkas, G Szarvas, I Hegedűs, A Almási, V Vincze, R Ormándi, ... Journal of the American Medical Informatics Association 16 (4), 601-605, 2009 | 28 | 2009 |
| GYDER: maxent metonymy resolution R Farkas, E Simon, G Szarvas, D Varga Proceedings of the Fourth International Workshop on Semantic Evaluations …, 2007 | 28 | 2007 |
| Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora V Vincze, G Szarvas, G Móra, T Ohta, R Farkas Journal of Biomedical Semantics 2 (Suppl 5), S8, 2011 | 26 | 2011 |
| Combining language sources and robust semantic relatedness for attribute-based knowledge transfer M Rohrbach, M Stark, G Szarvas, B Schiele ECCV-PnA, 2010 | 25 | 2010 |
Richárd Farkasresearcher at University of SzegedVerified email at inf.u-szeged.hu
