Artur Kulmizev
Artur Kulmizev
Postdoctoral Researcher, KU Leuven
Verified email at - Homepage
Cited by
Cited by
Can language models encode perceptual structure without grounding? a case study in color
M Abdou, A Kulmizev, D Hershcovich, S Frank, E Pavlick, A Søgaard
arXiv preprint arXiv:2109.06129, 2021
Deep contextualized word embeddings in transition-based and graph-based dependency parsing–a tale of two parsers revisited
A Kulmizev, M de Lhoneux, J Gontrum, E Fano, J Nivre
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
The power of character n-grams in native language identification
A Kulmizev, B Blankers, J Bjerva, M Nissim, G van Noord, B Plank, ...
Proceedings of the 12th workshop on innovative use of NLP for building …, 2017
Word order does matter and shuffled language models know it
M Abdou, V Ravishankar, A Kulmizev, A Søgaard
Proceedings of the 60th annual meeting of the Association for Computational …, 2022
Do neural language models show preferences for syntactic formalisms?
A Kulmizev, V Ravishankar, M Abdou, J Nivre
arXiv preprint arXiv:2004.14096, 2020
Positional artefacts propagate through masked language model embeddings
Z Luo, A Kulmizev, X Mao
arXiv preprint arXiv:2011.04393, 2020
Attention can reflect syntactic structure (if you let it)
V Ravishankar, A Kulmizev, M Abdou, A Søgaard, J Nivre
arXiv preprint arXiv:2101.10927, 2021
Schrödinger's tree—On syntax and neural language models
A Kulmizev, J Nivre
Frontiers in Artificial Intelligence 5, 796788, 2022
Higher-order comparisons of sentence encoder representations
M Abdou, A Kulmizev, F Hill, DM Low, A Søgaard
arXiv preprint arXiv:1909.00303, 2019
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets
M Abdou, A Kulmizev, JG i Ametllé
Proceedings of The 12th International Workshop on Semantic Evaluation, 210-217, 2018
What can we learn from Semantic Tagging?
M Abdou, A Kulmizev, V Ravishankar, L Abzianidze, J Bos
arXiv preprint arXiv:1808.09716, 2018
Mgad: Multilingual generation of analogy datasets
M Abdou, A Kulmizev, V Ravishankar
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Word order does matter (and shuffled language models know it)
V Ravishankar, M Abdou, A Kulmizev, A Søgaard
arXiv preprint arXiv:2203.10995, 2022
Investigating UD treebanks via dataset difficulty measures
A Kulmizev, J Nivre
Proceedings of the 17th Conference of the European Chapter of the …, 2023
The Search for Syntax: Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing
A Kulmizev
Acta Universitatis Upsaliensis, 2023
Polyglot Parsing for One Thousand and One Languages (And Then Some)
A Basirat, M de Lhoneux, A Kulmizev, M Kurfal, J Nivre, R Östling
First workshop on Typology for Polyglot NLP, Florence, Italy, August 1 2019, 2019
K {\o} psala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding
D Hershcovich, M De Lhoneux, A Kulmizev, E Pejhan, J Nivre
arXiv preprint arXiv:2005.12094, 2020
Multilingual word embeddings and their utility in cross-lingual learning
A Kulmizev
Discriminator at semeval-2018 task 10: Minimally supervised discrimination
A Kulmizev, M Abdou, V Ravishankar, M Nissim
Proceedings of The 12th International Workshop on Semantic Evaluation, 1008-1012, 2018
Remote Participants
T Baldwin, VB Mititelu, EM Bender, A Bhatia, I Florida, USB Bohnet, ...
Universals of Linguistic Idiosyncrasy in Multilingual Computational …, 0
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