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
Gábor GosztolyaUniversity 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)Principal ML/NLP Scientist @ AmazonVerified email at amazon.com
Gyorgy MoraData ScientistVerified email at helmethair.co
Laszlo TothUniversity of SzegedVerified email at inf.u-szeged.hu
Dr. Martina Katalin Szabó, Ph.D.Tokyo 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
Ivelina StoyanovaResearch assistant, Department of Computational Linguistics, Institute for Bulgarian Language,Verified email at dcl.bas.bg
Zoltan BanretinyelvészetVerified email at nytud.hu
Carla Parra EscartínAI Data Research Director, Toppan Digital LanguageVerified email at toppandigital.com
Voula GiouliAssistant Professor, Aristotle University of Thessaloniki & ILSP - ATHENA RCVerified email at athenarc.gr
Alexin Zoltánsenior lecturer, University of SzegedVerified email at inf.u-szeged.hu
Johanna MontiProfessor of Modern Languages Teaching, Università di Napoli L'OrientaleVerified email at unior.it
Adam PrzepiórkowskiPolish Academy of Sciences (IPI PAN) / University of Warsaw (Cognitive Studies)Verified email at ipipan.waw.pl
Liebeskind ChayaJerusalem College of TechnologyVerified email at g.jct.ac.il

Veronika Vincze

Hungarian Academy of Sciences, Research Group on Artificial Intelligence

Verified email at inf.u-szeged.hu

natural language processing


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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, 1-9, 2008	544	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	405	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	333	2015
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	288	2018
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	253	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	252	2008
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	217	2019
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	214	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	195	2013
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	161	2017
Hungarian dependency treebank V Vincze, D Szauter, A Almási, G Móra, Z Alexin, J Csirik European Language Resources Association, 2010	147	2010
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	142	2012
Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki ISCA, 2015	121	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	115	2018
Basic English syntax with exercises M Newson	109	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	70	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	62	2015
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	51	2016
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	50	2016
PARSEME multilingual corpus of verbal multiword expressions A Savary, M Candito, VB Mititelu, E Bejček, F Cap, S Čéplö, SR Cordeiro, ... Multiword expressions at length and in depth: Extended papers from the MWE …, 2018	49	2018

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