From zero to hero: On the limitations of zero-shot cross-lingual transfer with multilingual transformers A Lauscher, V Ravishankar, I Vulić, G Glavaš arXiv preprint arXiv:2005.00633, 2020 | 326 | 2020 |
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ... | 72 | 2017 |
Word order does matter (and shuffled language models know it) V Ravishankar, M Abdou, A Kulmizev, A Søgaard arXiv preprint arXiv:2203.10995, 2022 | 48* | 2022 |
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 |
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 |
The sensitivity of language models and humans to Winograd schema perturbations M Abdou, V Ravishankar, M Barrett, Y Belinkov, D Elliott, A Søgaard arXiv preprint arXiv:2005.01348, 2020 | 37 | 2020 |
The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English F Burlot, Y Scherrer, V Ravishankar, O Bojar, SA Grönroos, M Koponen, ... 3rd Conference on Machine Translation (WMT 18) 2, 550-564, 2018 | 31 | 2018 |
Probing multilingual sentence representations with X-probe V Ravishankar, L Øvrelid, E Velldal arXiv preprint arXiv:1906.05061, 2019 | 21 | 2019 |
Multilingual probing of deep pre-trained contextual encoders V Ravishankar, M Gökırmak, L Øvrelid, E Velldal Proceedings of the First NLPL Workshop on Deep Learning for Natural Language …, 2019 | 16 | 2019 |
A universal dependencies treebank for Marathi V Ravishankar Proceedings of the 16th international workshop on treebanks and linguistic …, 2017 | 16 | 2017 |
A prototype dependency treebank for Breton FM Tyers, V Ravishankar Actes de la Conférence TALN. Volume 1-Articles longs, articles courts de …, 2018 | 15 | 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 |
Are multilingual neural machine translation models better at capturing linguistic features? D Mareček, H Celikkanat, M Silfverberg, V Ravishankar, J Tiedemann The Prague Bulletin of Mathematical Linguistics, 143-162, 2020 | 11 | 2020 |
Mgad: Multilingual generation of analogy datasets M Abdou, A Kulmizev, V Ravishankar Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 9 | 2018 |
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings I Mohr, M Krimmel, S Sturua, MK Akram, A Koukounas, M Günther, ... arXiv preprint arXiv:2402.17016, 2024 | 7 | 2024 |
A morphological analyser for Maltese V Ravishankar, FM Tyers, A Gatt Procedia Computer Science 117, 175-182, 2017 | 7 | 2017 |
A closer look at parameter contributions when training neural language and translation models R Vázquez, H Celikkanat, V Ravishankar, M Creutz, J Tiedemann International Conference on Computational Linguistics, 4788-4800, 2022 | 6 | 2022 |
The impact of positional encodings on multilingual compression V Ravishankar, A Søgaard arXiv preprint arXiv:2109.05388, 2021 | 6 | 2021 |
Finite-state morphological analysis for Marathi V Ravishankar, F Tyers Proceedings of the 13th International Conference on Finite State Methods and …, 2017 | 6 | 2017 |
Finite-state back-transliteration for Marathi V Ravishankar The Prague Bulletin of Mathematical Linguistics 108 (1), 319, 2017 | 6 | 2017 |