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Contact information: andre.t.martins AT tecnico DOT ulisboa DOT pt Instituto de Telecomunicacões Torre Norte - Sala 9.07 Av. Rovisco Pais, 1 1049-001 Lisboa - Portugal Phone: +351 218418454 
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I am an Associate Professor at the Computer Science Department (DEI) and at the Electrical and Computer Engineering Department (DEEC) at Instituto Superior Técnico. I am also the VP of AI Research at Unbabel in Lisbon, Portugal, and a Senior Researcher at the Instituto de Telecomunicações, where I lead the SARDINE Lab.
Until 2012, I was a PhD student in the joint CMU-Portugal program in Language Technologies, at Carnegie Mellon University and at Instituto Superior Técnico, where I worked under the supervision of Mário Figueiredo, Noah Smith, Pedro Aguiar and Eric Xing.
My research interests revolve around natural language processing and machine learning, more specifically sparse and structured transformations, uncertainty quantification, interpretability, and multimodal processing applied to machine translation, natural language generation, quality estimation, and evaluation. My research has been funded by a ERC Starting Grant (DeepSPIN) and Consolidator Grant (DECOLLAGE), among other grants, and has received several paper awards at ACL conferences. I co-founded and co-organize the Lisbon Machine Learning School (LxMLS). I am a Fellow of the ELLIS society and a co-director of the ELLIS Program in Natural Language Processing. I am a member of the Lisbon Academy of Sciences and of the Research & Innovation Advisory Group (RIAG) of the EuroHPC Joint Undertaking.
Post-docs
- Chryssa Zerva (Post-doc at IT, 2021-)
- Vlad Niculae (Post-doc at IT, 2018-2020, now Assistant Professor at University of Amsterdam)
- Erick Fonseca (Post-doc at IT, 2018-2020), now Research Scientist at Cleverly
Students and Interns
- Haau-Sing Li (ELLIS PhD at TU Darmstadt University, 2021-; co-advised with Iryna Gurevych)
- Nuno Guerreiro (PhD at IST, 2020-)
- Patrick Fernandes (PhD at CMU/IST, 2020-; co-advised with Graham Neubig)
- Taisiya Glushkova (PhD at IST, 2020-)
- Nuno Guerreiro (PhD at IST, 2020-)
- António Farinhas (MSc at IST, 2020)
- Pedro Coelho (MSc at IST, 2020; co-advised with Christine Maroti at Unbabel)
- João Alves (MSc at IST, 2020; co-advised with Amin Farajian at Unbabel)
- João Moura (MSc at IST, 2020; co-advised with Fábio Kepler at Unbabel)
- Rita Costa (MSc at IST, 2020; co-advised with Luisa Coheur)
- Nikita Nangia (Summer Intern at IT, 2019)
- Michael Zhang (Research Intern at Unbabel, 2019)
- Daan van Stigt (Research Intern at Unbabel, 2019)
- Marcos Treviso (PhD at IST, 2019-, co-advised with Mário Figueiredo)
- Tsvetomila Mihaylova (PhD at IST, 2018-, co-advised with Vlad Niculae))
- Ben Peters (PhD at IST, 2018-)
- Gonçalo Correia (ELLIS PhD at IST, 2018-, co-advised with Vlad Niculae)
- Pedro Martins (PhD at IST, 2018-; co-advised with Zita Marinho)
- Sameen Maruf (PhD at Monash University, 2016-: co-advised with Reza Haffari)
- Zita Marinho (PhD at CMU/IST, 2013-2018; co-advised with Geoff Gordon and Sidd Srinivasa, now Head of Research at Priberam Labs)
- Telmo Pires (Research Intern at IT and Unbabel, 2017, now at Google AI)
- Pedro Ferreira (MSc at IST, 2017-)
- Chaitanya Malaviya (Research Intern at Unbabel, 2017, now MSc at CMU)
- Julia Kreutzer (Research Intern at Unbabel, 2016, now PhD student at Heidelberg University)
- Daniel Ferreira (MSc at IST, 2015; co-advised with Mariana Almeida; now PhD at Vienna Technical University)
- Renato Negrinho (Research Intern at Priberam, 2014, now PhD at CMU)
- Vasco Marcelino (MSc at IST, 2014; co-advised with Miguel Almeida)
- Marta Quintão (MSc at IST, 2014)
- Pedro Ramos (MSc at IST, 2013)
News
- I am Program Co-Chair of ACL 2024.
- Great news: I got an ERC (European Research Council) Consolidator Grant on "Deep Cognition Learning for Language Generation (DECOLLAGE)". I am now looking for Post-Doc and PhD Students.
- I gave a keynote talk at the SEPLN 2022 conference.
- I gave a keynote at the Mercury Machine Learning Lab (MMLL) seminar series. I talked about how to go from sparse modeling to sparse communication. Check the video here!
- I am co-organizing LxMLS 2022 (Lisbon Machine Learning School), back to in-person this year! See here for details!
- I am SAC for ACL 2022 and AC for NeurIPS 2022.
- We have new papers accepted at CLeaR 2022, ICLR 2022, ACL 2022, NAACL 2022, ICML 2022.
- I gave a keynote talk at the TRITON conference.
- I gave a keynote talk at TALN where I presented some of the work we did in the DeepSPIN project. Here are the slides.
- I am co-organizing LxMLS 2021 (Lisbon Machine Learning School), which will be a fully remote school this year. See here for details!
- We have new papers accepted at NAACL 2021 and ACL 2021.
- I am AC for NAACL 2021, NeurIPS 2021, EMNLP 2021, ICLR 2022.
- I am Action Editor for TACL.
- I am co-directing the ELLIS NLP program with Iryna Guleyvich and Ivan Titov, with an amazing list of fellows and scholars!
- We're launching LUMLIS, the Lisbon unit of the ELLIS network!
- We have new papers accepted at EMNLP 2020 and NeurIPS 2020.
- I am SAC for EACL 2021 and AC for ICLR 2021.
- We have an opening for a Post-Doc position in the DeepSPIN project. See here for details!
- We have new papers accepted at ACL 2020, ICML 2020, and EAMT 2020.
- We have a new JMLR paper on Learning with Fenchel-Young Losses (work done with collaboration with Mathieu Blondel).
- I am AC for NeurIPS 2020 and EMNLP 2020.
- I was SAC for ACL 2020 and AC for ICLR 2020.
- We presented a tutorial on Latent Structure Models for NLP at ACL 2019 in Florence.
- I am giving an invited talk at the First EurNLP Summit in London.
- I am giving invited talks at 3 Summer schools: LxMLS 2019 in Lisbon, AthNLP 2019 in Athens, and MLRS 2019 in Bangkok.
- I was part of a discussion panel at Culturgest about AI. Here's the video (in Portuguese).
- We have new papers accepted at AISTATS, NAACL, ACL, and EMNLP 2019.
- Unbabel won the WMT 2019 Shared Task on Quality Estimation! Check the results here!
- We received the best system demo paper award for OpenKiwi, a Pytorch-based software toolkit for translation quality estimation. Check the repo and the demo paper at ACL 2019!
- We have a new EMNLP paper where we propose SparseMAP to build dynamic computation graphs via sparse latent structure.
- I gave an invited talk in the ACL 2018 Workshop on Neural Machine Translation and Generation. Here are the slides.
- We have a new ICML paper where we propose SparseMAP as a new inference procedure for sparse structured prediction (work done in collaboration with Vlad Niculae, Mathieu Blondel, and Claire Cardie).
- We have a new ACL short paper where we use new forms of sparse and constrained attention within neural machine translation (work done in collaboration with Chaitanya Malaviya and Pedro Ferreira).
- Great news: I got an ERC (European Research Council) Starting Grant on "Deep Structured Prediction in Natural Language Processing (DeepSPIN)". I am now looking for Post-Doc and PhD Students.
- I'm giving an invited talk in the EMNLP 2017 Workshop on Structured Prediction for NLP.
- I gave an invited talk in the ICML 2017 Workshop on Learning to Generate Natural Language and co-organized the ICML 2017 Workshop on Deep Structured Prediction.
- Our paper on end-to-end differentiable neural-easy first decoders made it to EMNLP 2017!
- We have a new TACL paper where we further improve our quality estimation system by using automatic post-editing as a auxiliary task.
- Our word-level quality estimation system achieved the top score in the First Conference on Machine Translation (WMT 2016). Check the paper here.
- Our paper on sparsemax was accepted at ICML 2016. It's a sparse, differentiable, alternative to the softmax activation.
- I joined Unbabel! We do AI powered human quality translation.
- I presented a tutorial on "Linear Programming Decoders in NLP" at EMNLP 2014, which covers integer linear programming, message-passing algorithms, and dual decomposition. The slides are available here and the videos here (part 1, part 2).
- Our TurboSemanticParser system achieved the top score in the open track of the SemEval 2014 task on "Broad-Coverage Semantic Dependency Parsing." Check the paper here.
- I presented a tutorial on "Structured Sparsity in NLP" at EACL 2014. The slides are available here (see here for an older version of the same tutorial presented at NAACL 2012).
- I received the Portuguese IBM Scientific Prize for my work in structured prediction and "Turbo Parsing."
- I successfully defended my thesis in May 11, 2012, at CMU!