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Veronika Vincze
Veronika Vincze
Hungarian Academy of Sciences, Research Group on Artificial Intelligence
Verified email at inf.u-szeged.hu
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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, 1-9, 2008
5272008
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
3892010
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
2852015
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
2402018
Universal Dependencies 2.2
J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...
2402018
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
2372008
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
2062013
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
1792013
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
1782019
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
1462017
Hungarian dependency treebank
V Vincze, D Szauter, A Almási, G Móra, Z Alexin, J Csirik
European Language Resources Association, 2010
1442010
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
1302012
Automatic detection of mild cognitive impairment from spontaneous speech using ASR
L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki
ISCA, 2015
1142015
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
1072018
Basic English syntax with exercises
M Newson
1052006
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
682011
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
552015
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
462011
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
452016
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
442013
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Articles 1–20