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 | 96 | 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 | 71* | 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 | 58 | 2017 |
Do neural language models show preferences for syntactic formalisms? A Kulmizev, V Ravishankar, M Abdou, J Nivre arXiv preprint arXiv:2004.14096, 2020 | 44 | 2020 |
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 | 43 | 2022 |
Positional artefacts propagate through masked language model embeddings Z Luo, A Kulmizev, X Mao arXiv preprint arXiv:2011.04393, 2020 | 40 | 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 | 37 | 2021 |
Schrödinger's tree—On syntax and neural language models A Kulmizev, J Nivre Frontiers in Artificial Intelligence 5, 796788, 2022 | 23 | 2022 |
Higher-order comparisons of sentence encoder representations M Abdou, A Kulmizev, F Hill, DM Low, A Søgaard arXiv preprint arXiv:1909.00303, 2019 | 19 | 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 | 17 | 2018 |
What can we learn from Semantic Tagging? M Abdou, A Kulmizev, V Ravishankar, L Abzianidze, J Bos arXiv preprint arXiv:1808.09716, 2018 | 12 | 2018 |
Mgad: Multilingual generation of analogy datasets M Abdou, A Kulmizev, V Ravishankar Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 9 | 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 | 6 | 2022 |
Investigating UD treebanks via dataset difficulty measures A Kulmizev, J Nivre Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 2 | 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 | 2 | 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 | 2 | 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 | 1 | 2020 |
Multilingual word embeddings and their utility in cross-lingual learning A Kulmizev | 1 | 2018 |
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 | 1 | 2018 |
Remote Participants T Baldwin, VB Mititelu, EM Bender, A Bhatia, I Florida, USB Bohnet, ... Universals of Linguistic Idiosyncrasy in Multilingual Computational …, 0 | | |