Veronika Vincze

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Richárd Farkasresearcher at University of SzegedVerified email at inf.u-szeged.hu
Nagy T., IstvánUniversity of SzegedVerified email at inf.u-szeged.hu
Janos CsirikProfessor of Computer Science, University of SzegedVerified email at inf.u-szeged.hu
György Szarvas (Gyuri)Sr. ML/NLP Scientist @ AmazonVerified email at amazon.com
Gyorgy MoraData ScientistVerified email at helmethair.co
Gábor GosztolyaUniversity of SzegedVerified email at inf.u-szeged.hu
Laszlo TothResearch Group on Artificial IntelligenceVerified email at inf.u-szeged.hu
Gábor BerendUniversity of SzegedVerified email at inf.u-szeged.hu
Martina SzabóTK CSS RECENS, University of Szeged, Department of InformaticsVerified email at tk.hu
Carlos RamischAix Marseille UniversityVerified email at lis-lab.fr
Marie CanditoMaîtresse de Conférences, Université Paris DiderotVerified email at linguist.univ-paris-diderot.fr
Federico SangatiOkinawa Institute of Science and Technology Graduate UniversityVerified email at oist.jp
Alexin Zoltánsenior lecturer, University of SzegedVerified email at inf.u-szeged.hu
Zoltan BanretinyelvészetVerified email at nytud.hu
Adam PrzepiórkowskiPolish Academy of Sciences (IPI PAN) / University of Warsaw (Cognitive Studies)Verified email at ipipan.waw.pl
Voula GiouliResearch Associate, Institute for Language & Speech Processing, R.C. "Athena"Verified email at athenarc.gr
Ivelina StoyanovaResearch assistant, Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of SciencesVerified email at dcl.bas.bg
Carla Parra EscartínGlobal Program Manager, RWS Language WeaverVerified email at rws.com
Csilla HorváthVerified email at helsinki.fi
Joakim NivreSenior Researcher, RISE; Professor of Computational Linguistics, Uppsala UniversityVerified email at ri.se

Veronika Vincze

Hungarian Academy of Sciences, Research Group on Artificial Intelligence

Verified email at inf.u-szeged.hu

natural language processing


Title Sort by citations Sort by year Sort by title	Cited by 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 (11), 1-9, 2008	454	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	351	2010
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	231	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	197	2008
Speaking in Alzheimer’s disease, is that an early sign? Importance of changes in language abilities in Alzheimer’s disease G Szatloczki, I Hoffmann, V Vincze, J Kalman, M Pakaski Frontiers in aging neuroscience 7, 195, 2015	194	2015
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	182	2013
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	142	2013
Hungarian dependency treebank V Vincze, D Szauter, A Almási, G Móra, Z Alexin, J Csirik European Language Resources Association, 2010	130	2010
A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech L Tóth, I Hoffmann, G Gosztolya, V Vincze, G Szatlóczki, Z Bánréti, ... Current Alzheimer Research 15 (2), 130-138, 2018	129	2018
The PARSEME shared task on automatic identification of verbal multiword expressions A Savary, C Ramisch, SR Cordeiro, F Sangati, V Vincze, B Qasemi Zadeh, ... The 13th Workshop on Multiword Expression at EACL, 31-47, 2017	113	2017
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
Identifying mild cognitive impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features G Gosztolya, V Vincze, L Tóth, M Pákáski, J Kálmán, I Hoffmann Computer Speech & Language 53, 181-197, 2019	91	2019
Basic English syntax with exercises M Newson	90	2006
Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki ISCA, 2015	88	2015
Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions C Ramisch, S Cordeiro, A Savary, V Vincze, VB Mititelu, A Bhatia, ... Proceedings of the Joint Workshop on Linguistic Annotation, Multiword …, 2018	75	2018
Multiword expressions and named entities in the Wiki50 corpus V Vincze, I Nagy, G Berend Proceedings of the International Conference Recent Advances in Natural …, 2011	62	2011
PARSEME–PARSing and Multiword Expressions within a European multilingual network A Savary, M Sailer, Y Parmentier, M Rosner, V Rosén, A Przepiórkowski, ... 7th Language & Technology Conference: Human Language Technologies as a …, 2015	46	2015
Detecting noun compounds and light verb constructions: a contrastive study V Vincze, I Nagy, G Berend Proceedings of the Workshop on Multiword Expressions: from Parsing and …, 2011	42	2011
Weasels, hedges and peacocks: Discourse-level uncertainty in wikipedia articles V Vincze Nagoya, 2013	40	2013
Dependency parsing for identifying Hungarian light verb constructions V Vincze, J Zsibrita, I Nagy Proceedings of the Sixth International Joint Conference on Natural Language …, 2013	38	2013

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