| SemEval-2022 task 2: Multilingual idiomaticity detection and sentence embedding HT Madabushi, E Gow-Smith, M Garcia, C Scarton, M Idiart, ... arXiv preprint arXiv:2204.10050, 2022 | 44 | 2022 |
| AStitchInLanguageModels: Dataset and methods for the exploration of idiomaticity in pre-trained language models HT Madabushi, E Gow-Smith, C Scarton, A Villavicencio arXiv preprint arXiv:2109.04413, 2021 | 40 | 2021 |
| Improving tokenisation by alternative treatment of spaces E Gow-Smith, HT Madabushi, C Scarton, A Villavicencio arXiv preprint arXiv:2204.04058, 2022 | 9 | 2022 |
| NAVER LABS Europe's Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track E Gow-Smith, A Berard, MZ Boito, I Calapodescu arXiv preprint arXiv:2306.07763, 2023 | 6 | 2023 |
| Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages E Gow-Smith, DS Villegas arXiv preprint arXiv:2306.09830, 2023 | 5 | 2023 |
| Use of Transformer-Based Models for Word-Level Transliteration of the Book of the Dean of Lismore E Gow-Smith, M McConville, W Gillies, J Scott, RÓ Maolalaigh arXiv preprint arXiv:2205.11370, 2022 | 3 | 2022 |
| Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) C Scarton, C Prescott, C Bayliss, C Oakley, J Wright, S Wrigley, X Song, ... Proceedings of the 25th Annual Conference of the European Association for …, 2024 | | 2024 |
| Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection D Phelps, T Pickard, M Mi, E Gow-Smith, A Villavicencio arXiv preprint arXiv:2405.09279, 2024 | | 2024 |
| Word Boundary Information Isn't Useful for Encoder Language Models E Gow-Smith, D Phelps, HT Madabushi, C Scarton, A Villavicencio arXiv preprint arXiv:2401.07923, 2024 | | 2024 |
| Sample Efficient Approaches for Idiomaticity Detection D Phelps, XR Fan, E Gow-Smith, HT Madabushi, C Scarton, ... arXiv preprint arXiv:2205.11306, 2022 | | 2022 |
Carolina ScartonSenior Lecturer in Natural Language Processing, NLP group / GATE group, University of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
