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
Zoltan BanretinyelvészetVerified email at nytud.hu
Alexin Zoltánsenior lecturer, University of SzegedVerified email at inf.u-szeged.hu
Federico SangatiOkinawa Institute of Science and Technology Graduate UniversityVerified email at oist.jp
Adam PrzepiórkowskiPolish Academy of Sciences (IPI PAN) / University of Warsaw (Cognitive Studies)Verified email at ipipan.waw.pl
Eszter SimonNLP consultant, Hungarian Széchényi LibraryVerified email at oszk.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
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	497	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	374	2010
Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...	237	2018
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	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	213	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	194	2013
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	186	2018
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	161	2013
Hungarian dependency treebank V Vincze, D Szauter, A Almási, G Móra, Z Alexin, J Csirik European Language Resources Association, 2010	138	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	137	2017
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	136	2019
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	112	2012
Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki ISCA, 2015	108	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	101	2018
Basic English syntax with exercises M Newson	99	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	52	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	44	2016
Weasels, hedges and peacocks: Discourse-level uncertainty in wikipedia articles V Vincze Nagoya, 2013	43	2013
Detecting mild cognitive impairment by exploiting linguistic information from transcripts V Vincze, G Gosztolya, L Tóth, I Hoffmann, G Szatlóczki, Z Bánréti, ... Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	42	2016

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