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ORCIDArtur Kulmizev
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Books and Theses
- 2023
[b1]Artur Kulmizev:
The Search for Syntax: Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing. Uppsala University, Sweden, 2023
Journal Articles
- 2022
- [j1]Artur Kulmizev, Joakim Nivre:
Schrödinger's tree - On syntax and neural language models. Frontiers Artif. Intell. 5 (2022)
Conference and Workshop Papers
- 2023
- [c14]Artur Kulmizev, Joakim Nivre:
Investigating UD Treebanks via Dataset Difficulty Measures. EACL 2023: 1076-1089 - 2022
- [c13]Mostafa Abdou, Vinit Ravishankar, Artur Kulmizev, Anders Søgaard:
Word Order Does Matter and Shuffled Language Models Know It. ACL (1) 2022: 6907-6919 - 2021
- [c12]Ziyang Luo, Artur Kulmizev, Xiaoxi Mao:
Positional Artefacts Propagate Through Masked Language Model Embeddings. ACL/IJCNLP (1) 2021: 5312-5327 - [c11]Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard:
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. CoNLL 2021: 109-132 - [c10]Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre:
Attention Can Reflect Syntactic Structure (If You Let It). EACL 2021: 3031-3045 - 2020
- [c9]Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre:
Do Neural Language Models Show Preferences for Syntactic Formalisms? ACL 2020: 4077-4091 - [c8]Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. IWPT 2020 2020: 236-244 - 2019
- [c7]Artur Kulmizev, Miryam de Lhoneux
, Johannes Gontrum, Elena Fano, Joakim Nivre:
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. EMNLP/IJCNLP (1) 2019: 2755-2768 - [c6]Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard:
Higher-order Comparisons of Sentence Encoder Representations. EMNLP/IJCNLP (1) 2019: 5837-5844 - 2018
- [c5]Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos:
What can we learn from Semantic Tagging? EMNLP 2018: 4881-4889 - [c4]Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar:
MGAD: Multilingual Generation of Analogy Datasets. LREC 2018 - [c3]Mostafa Abdou, Artur Kulmizev, Joan Ginés i Ametllé:
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets. SemEval@NAACL-HLT 2018: 210-217 - [c2]Artur Kulmizev, Mostafa Abdou, Vinit Ravishankar, Malvina Nissim:
Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination. SemEval@NAACL-HLT 2018: 1008-1012 - 2017
- [c1]Artur Kulmizev, Bo Blankers, Johannes Bjerva, Malvina Nissim, Gertjan van Noord, Barbara Plank, Martijn Wieling:
The Power of Character N-grams in Native Language Identification. BEA@EMNLP 2017: 382-389
Informal and Other Publications
- 2024
- [i10]Kushal Tatariya, Artur Kulmizev, Wessel Poelman, Esther Ploeger, Marcel Bollmann, Johannes Bjerva, Jiaming Luo, Heather C. Lent, Miryam de Lhoneux:
How Good is Your Wikipedia? CoRR abs/2411.05527 (2024) - 2022
- [i9]Vinit Ravishankar, Mostafa Abdou, Artur Kulmizev, Anders Søgaard:
Word Order Does Matter (And Shuffled Language Models Know It). CoRR abs/2203.10995 (2022) - 2021
- [i8]Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre:
Attention Can Reflect Syntactic Structure (If You Let It). CoRR abs/2101.10927 (2021) - [i7]Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard:
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. CoRR abs/2109.06129 (2021) - [i6]Artur Kulmizev, Joakim Nivre:
Schrödinger's Tree - On Syntax and Neural Language Models. CoRR abs/2110.08887 (2021) - 2020
- [i5]Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre:
Do Neural Language Models Show Preferences for Syntactic Formalisms? CoRR abs/2004.14096 (2020) - [i4]Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. CoRR abs/2005.12094 (2020) - 2019
- [i3]Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre:
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. CoRR abs/1908.07397 (2019) - [i2]Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard:
Higher-order Comparisons of Sentence Encoder Representations. CoRR abs/1909.00303 (2019) - 2018
- [i1]Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos:
What can we learn from Semantic Tagging? CoRR abs/1808.09716 (2018)
Coauthor Index
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