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
Gábor GosztolyaUniversity of SzegedVerified email at inf.u-szeged.hu
Gyorgy MoraData ScientistVerified email at helmethair.co
Laszlo TothResearch Group on Artificial IntelligenceVerified email at inf.u-szeged.hu
Martina Katalin SzabóTokyo University of Foreign Studies; TK CSS RECENS; University of Szeged, Department of InformaticsVerified email at tk.hu
Gábor BerendUniversity of SzegedVerified email at inf.u-szeged.hu
Carlos RamischAix Marseille UniversityVerified email at lis-lab.fr
Marie CanditoMaîtresse de Conférences, Université Paris CitéVerified email at u-paris.fr
Federico SangatiOkinawa Institute of Science and Technology Graduate UniversityVerified email at oist.jp
Zoltan BanretinyelvészetVerified email at nytud.hu
Alexin Zoltánsenior lecturer, University of SzegedVerified email at inf.u-szeged.hu
Voula GiouliInstitute for Language and Speech Processing, Athena Research CenterVerified 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 EscartínResearch Manager, RWS Language WeaverVerified email at rws.com
Adam PrzepiórkowskiPolish Academy of Sciences (IPI PAN) / University of Warsaw (Cognitive Studies)Verified email at ipipan.waw.pl
Johanna MontiProfessor of Modern Languages Teaching, "L'Orientale" University of NaplesVerified email at unior.it
Eszter SimonNLP consultant, K&H BankVerified email at kh.hu

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	515	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	382	2010
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	262	2015
Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...	240	2018
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	233	2008
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	220	2018
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	202	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	169	2013
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	165	2019
Hungarian dependency treebank V Vincze, D Szauter, A Almási, G Móra, Z Alexin, J Csirik European Language Resources Association, 2010	140	2010
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	139	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	126	2012
Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki ISCA, 2015	110	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	106	2018
Basic English syntax with exercises M Newson	102	2006
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	69	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	55	2015
Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection G Gosztolya, L Tóth, T Grósz, V Vincze, I Hoffmann, G Szatlóczki, ... szte, 2016	45	2016
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	45	2011
Weasels, hedges and peacocks: Discourse-level uncertainty in wikipedia articles V Vincze Nagoya, 2013	43	2013

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