Portuguese word embeddings: Evaluating on word analogies and natural language tasks N Hartmann, E Fonseca, C Shulby, M Treviso, J Rodrigues, S Aluisio arXiv preprint arXiv:1708.06025, 2017 | 330 | 2017 |
OpenKiwi: An open source framework for quality estimation F Kepler, J Trénous, M Treviso, M Vera, AFT Martins arXiv preprint arXiv:1902.08646, 2019 | 149 | 2019 |
CometKiwi: IST-unbabel 2022 submission for the quality estimation shared task R Rei, M Treviso, NM Guerreiro, C Zerva, AC Farinha, C Maroti, ... arXiv preprint arXiv:2209.06243, 2022 | 125 | 2022 |
Efficient methods for natural language processing: A survey M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ... Transactions of the Association for Computational Linguistics 11, 826-860, 2023 | 100 | 2023 |
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task F Kepler, J Trénous, M Treviso, M Vera, A Góis, MA Farajian, AV Lopes, ... arXiv preprint arXiv:1907.10352, 2019 | 65 | 2019 |
The explanation game: Towards prediction explainability through sparse communication MV Treviso, AFT Martins arXiv preprint arXiv:2004.13876, 2020 | 44 | 2020 |
Sparse and continuous attention mechanisms A Martins, A Farinhas, M Treviso, V Niculae, P Aguiar, M Figueiredo Advances in Neural Information Processing Systems 33, 20989-21001, 2020 | 34 | 2020 |
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks MV Treviso, C Shulby, SM Aluísio Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 27 | 2017 |
Learning to scaffold: Optimizing model explanations for teaching P Fernandes, M Treviso, D Pruthi, A Martins, G Neubig Advances in Neural Information Processing Systems 35, 36108-36122, 2022 | 22 | 2022 |
Scaling up cometkiwi: Unbabel-ist 2023 submission for the quality estimation shared task R Rei, NM Guerreiro, J Pombal, D van Stigt, M Treviso, L Coheur, ... arXiv preprint arXiv:2309.11925, 2023 | 18 | 2023 |
Predicting attention sparsity in transformers M Treviso, A Góis, P Fernandes, E Fonseca, AFT Martins arXiv preprint arXiv:2109.12188, 2021 | 18 | 2021 |
IST-unbabel 2021 submission for the explainable quality estimation shared task M Treviso, NM Guerreiro, R Rei, AFT Martins Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems …, 2021 | 17 | 2021 |
Evaluating word embeddings for sentence boundary detection in speech transcripts MV Treviso, CD Shulby, SM Aluisio arXiv preprint arXiv:1708.04704, 2017 | 17 | 2017 |
The inside story: Towards better understanding of machine translation neural evaluation metrics R Rei, NM Guerreiro, M Treviso, L Coheur, A Lavie, AFT Martins arXiv preprint arXiv:2305.11806, 2023 | 15 | 2023 |
CREST: A joint framework for rationalization and counterfactual text generation M Treviso, A Ross, NM Guerreiro, AFT Martins arXiv preprint arXiv:2305.17075, 2023 | 12 | 2023 |
PELESent: Cross-domain polarity classification using distant supervision EA Corrêa, VQ Marinho, LB dos Santos, TFC Bertaglia, MV Treviso, ... 2017 Brazilian conference on intelligent systems (BRACIS), 49-54, 2017 | 11 | 2017 |
Detecting mild cognitive impairment in narratives in Brazilian Portuguese: first steps towards a fully automated system MV Treviso, LB Santos, C Shulby, LC Hübner, LL Mansur, SM Aluísio Letras de Hoje 53 (1), 48-58, 2018 | 8 | 2018 |
Sparse continuous distributions and Fenchel-Young losses AFT Martins, M Treviso, A Farinhas, PMQ Aguiar, MAT Figueiredo, ... Journal of Machine Learning Research 23 (257), 1-74, 2022 | 7 | 2022 |
Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese E Casanova, MV Treviso, LC Hübner, SM Aluísio Proceedings, 2020 | 4 | 2020 |
Sentence segmentation and disfluency detection in narrative transcripts from neuropsychological tests MV Treviso, SM Aluísio Computational Processing of the Portuguese Language: 13th International …, 2018 | 3 | 2018 |