| From softmax to sparsemax: A sparse model of attention and multi-label classification A Martins, R Astudillo International conference on machine learning, 1614-1623, 2016 | 785 | 2016 |
| Finding function in form: Compositional character models for open vocabulary word representation W Ling, T Luís, L Marujo, RF Astudillo, S Amir, C Dyer, AW Black, ... Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 763 | 2015 |
| Not all contexts are created equal: Better word representations with variable attention W Ling, Y Tsvetkov, S Amir, R Fernandez Astudillo, C Dyer, AW Black, ... Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 165 | 2015 |
| Findings of the WMT 2021 shared task on quality estimation L Specia, F Blain, M Fomicheva, C Zerva, Z Li, V Chaudhary, AFT Martins Proceedings of the Sixth Conference on Machine Translation, 684-725, 2021 | 138 | 2021 |
| Back-translation-style data augmentation for end-to-end ASR T Hayashi, S Watanabe, Y Zhang, T Toda, T Hori, R Astudillo, K Takeda 2018 IEEE Spoken Language Technology Workshop (SLT), 426-433, 2018 | 121 | 2018 |
| Leveraging abstract meaning representation for knowledge base question answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... arXiv preprint arXiv:2012.01707, 2020 | 102 | 2020 |
| GPT-too: A language-model-first approach for AMR-to-text generation M Mager, RF Astudillo, T Naseem, MA Sultan, YS Lee, R Florian, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 99 | 2020 |
| Cycle-consistency training for end-to-end speech recognition T Hori, R Astudillo, T Hayashi, Y Zhang, S Watanabe, J Le Roux ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 95 | 2019 |
| Pushing the limits of translation quality estimation AFT Martins, M Junczys-Dowmunt, FN Kepler, R Astudillo, C Hokamp, ... Transactions of the Association for Computational Linguistics 5, 205-218, 2017 | 85 | 2017 |
| Transition-based Parsing with Stack-Transformers RF Astudillo, M Ballesteros, T Naseem, A Blodgett, R Florian Findings of EMNLP 2020, 2020 | 72 | 2020 |
| On the importance of diversity in question generation for QA MA Sultan, S Chandel, RF Astudillo, V Castelli Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 70 | 2020 |
| Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text MK Baskar, S Watanabe, R Astudillo, T Hori, L Burget, J Černocký Proceedings of INTERSPEECH 2019, 3790 -- 3794, 2019 | 68 | 2019 |
| Inesc-id: A regression model for large scale twitter sentiment lexicon induction S Amir, RF Astudillo, W Ling, B Martins, MJ Silva, I Trancoso Proceedings of the 9th international workshop on semantic evaluation …, 2015 | 54 | 2015 |
| Integration of short-time Fourier domain speech enhancement and observation uncertainty techniques for robust automatic speech recognition RF Astudillo | 52 | 2010 |
| Propagation of Uncertainty Through Multilayer Perceptrons for Robust Automatic Speech Recognition. RF Astudillo, JP da Silva Neto Interspeech, 461-464, 2011 | 49 | 2011 |
| Unbabel’s participation in the wmt16 word-level translation quality estimation shared task AFT Martins, RF Astudillo, C Hokamp, F Kepler Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 47 | 2016 |
| AMR Parsing with Action-Pointer Transformer J Zhou, T Naseem, R Fernandez Astudillo, R Florian arXiv e-prints, arXiv: 2104.14674 (NAACL 2021), 2021 | 46 | 2021 |
| Learning word representations from scarce and noisy data with embedding subspaces RF Astudillo, S Amir, W Ling, MJ Silva, I Trancoso Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 46 | 2015 |
| Independent component analysis and time-frequency masking for speech recognition in multitalker conditions D Kolossa, R Fernandez Astudillo, E Hoffmann, R Orglmeister EURASIP Journal on Audio, Speech, and Music Processing 2010 (1), 651420, 2010 | 43 | 2010 |
| Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing J Zhou, T Naseem, RF Astudillo, YS Lee, R Florian, S Roukos arXiv preprint arXiv:2110.15534, 2021 | 37 | 2021 |
