Publications

• Vlad Niculae and André F. T. Martins.
  "LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction."
  International Conference on Machine Learning (ICML'20), July 2020.
  [pdf]

• Erick Fonseca and André F. T. Martins.
  "Revisiting Higher-Order Dependency Parsers."
  Annual Meeting of the Association for Computational Linguistics (ACL'20), July 2020.
  [pdf]

• Ben Peters and André F. T. Martins.
  "DeepSPIN at SIGMORPHON 2020: One-Size-Fits-All Multilingual Models."
  ACL Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMORPHON'20), July 2020.
  [pdf]

• António Góis, Kyunghyun Cho, and André F. T. Martins.
  "Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings."
  Annual Conference of the European Association for Machine Translation (EAMT'20), November 2020.
  [pdf]

• António Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang and André F. T. Martins.
  "Document-level Neural MT: A Systematic Comparison."
  Annual Conference of the European Association for Machine Translation (EAMT'20), November 2020.
  [pdf]

• Mathieu Blondel, André F. T. Martins, and Vlad Niculae.
  "Learning with Fenchel-Young losses."
  Journal of Machine Learning Research, 21 (2020) 1--69.
  [pdf]

• Gonçalo M. Correia, Vlad Niculae, and André F. T. Martins.
  "Adaptively Sparse Transformers."
  Conference on Empirical Methods in Natural Language Processing (EMNLP'19), Hong-Kong, China, November 2019. To appear.
  [pdf]

• Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, Christian Federmann.
  "Findings of the WMT 2019 Shared Tasks on Quality Estimation."
  Conference on Machine Translation (WMT 2019), Florence, Italy, August 2019.
  [pdf]

• Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins.
  "Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task."
  Conference on Machine Translation (WMT 2019), Florence, Italy, August 2019.
  Best results in the shared task.
  [pdf]

• António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, and André F. T. Martins.
  "Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing."
  Conference on Machine Translation (WMT 2019), Florence, Italy, August 2019.
  Best results in the shared task.
  [pdf]

• António Góis and André F. T. Martins.
  "Translator2Vec: Understanding and Representing Human Post-Editors."
  Proceedings of Machine Translation Summit XVII Volume 1: Research Track (MT Summit 2019), Dublin, Ireland, August 2019.
  [pdf] [dataset]

• Ben Peters, Vlad Niculae, and André F. T. Martins.
  "Sparse Sequence-to-Sequence Models."
  Annual Meeting of the Association for Computational Linguistics (ACL'19), Florence, Italy, July 2019.
  [pdf]

• Gonçalo M. Correia and André F. T. Martins.
  "A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning."
  Annual Meeting of the Association for Computational Linguistics (ACL'19), Florence, Italy, July 2019.
  [pdf]

• Fábio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins.
  "Openkiwi: An open source framework for quality estimation."
  Annual Meeting of the Association for Computational Linguistics (ACL'19), System Demonstrations, Florence, Italy, July 2019.
  Best system demo paper award.
  [pdf]

• Tsvetomila Mihaylova and André F. T. Martins.
  "Scheduled Sampling for Transformers."
  Annual Meeting of the Association for Computational Linguistics (ACL'19), Student Research Workshop, Florence, Italy, July 2019.
  [pdf]

• Pedro Henrique Martins, Zita Marinho, and André F. T. Martins.
  "Joint Learning of Named Entity Recognition and Entity Linking."
  Annual Meeting of the Association for Computational Linguistics (ACL'19), Student Research Workshop, Florence, Italy, July 2019.
  [pdf]

• Sameen Maruf, André F. T. Martins, and Gholamreza Haffari.
  "Selective attention for context-aware neural machine translation."
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'19), Minneapolis, USA, June 2019.
  [pdf]

• Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, and Shay B. Cohen.
  "Jointly extracting and compressing documents with summary state representations."
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'19), Minneapolis, USA, June 2019.
  [pdf]

• Mathieu Blondel, André F. T. Martins, and Vlad Niculae.
  "Learning classifiers with Fenchel-Young losses: Generalized entropies, margins, and algorithms."
  International Conference on Artificial Intelligence and Statistics (AISTATS'19), Okinawa, Japan.
  In Kamalika Chaudhuri and Masashi Sugiyama, editors, Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, pages 606–615. PMLR, 16–18 Apr 2019.
  [pdf]

• Vlad Niculae, André F. T. Martins, and Claire Cardie.
  "Towards Dynamic Computation Graphs via Sparse Latent Structure."
  Conference on Empirical Methods in Natural Language Processing (EMNLP'18), Brussels, Belgium, November 2018.
  [pdf]

• Sameen Maruf, André F. T. Martins, and Gholamreza Haffari.
  "Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations."
  Conference on Machine Translation (WMT'18), Brussels, Belgium, November 2018.
  [pdf]

• Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Astudillo, and André F. T. Martins.
  "Findings of the WMT 2018 Shared Task on Quality Estimation." Conference on Machine Translation (WMT'18), Brussels, Belgium, November 2018.
  [pdf]

• Ben Peters, Vlad Niculae, and André F. T. Martins.
  "Interpretable Structure Induction Via Sparse Attention."
  EMNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP'18), Brussels, Belgium, November 2018.
  [pdf]

• Vlad Niculae, André F. T. Martins, Mathieu Blondel, and Claire Cardie.
  "SparseMAP: Differentiable Sparse Structured Inference."
  International Conference on Machine Learning (ICML'18), Stockholm, Sweden, July 2018 (to appear).
  [pdf]

• Chaitanya Malaviya, Pedro Ferreira, and André F. T. Martins.
  "Sparse and Constrained Attention for Neural Machine Translation."
  Annual Meeting of the Association for Computational Linguistics (ACL'18), Melbourne, Australia, July 2018 (to appear).
  [pdf]

• André F. T. Martins and Julia Kreutzer.
  "Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers."
  Conference on Empirical Methods in Natural Language Processing (EMNLP'17), Copenhagen, Denmark, September 2017.
  [pdf]

• André F. T. Martins, Marcin Junczys-Dowmunt, Fábio Kepler, Ramon Astudillo, Chris Hokamp and Roman Grundkiewicz.
  "Pushing the Limits of Translation Quality Estimation."
  Transactions of the Association for Computational Linguistics, 5: 205--218, 2017.
  [pdf]

• André F. T. Martins and Ramon Astudillo.
  "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification."
  International Conference on Machine Learning (ICML'16), New York, USA, June 2016.
  [pdf]