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André Martins

VP of Artificial Intelligence Research

André Martins is the VP of AI Research at Unbabel, an invited professor at Instituto Superior Técnico, and a member of the Instituto de Telecomunicações. He received his dual-degree Ph.D. in Language Technologies in 2012 from Carnegie Mellon University and the University of Lisbon. His research interests include natural language processing, machine translation, machine learning, and deep learning. He has published 30+ papers with over 1700 citations and h-index of 21 in top-tier conferences and journals (such as Computational Linguistics, JMLR, PAMI, ACL, ICML, and EMNLP), including a best paper award at the Annual Meeting of the Association for Computational Linguistics (ACL) for his work in natural language syntax. His Ph.D. dissertation has been awarded an SCS Honorable Mention at CMU. He won the Portuguese IBM Scientific Prize in 2012. André is one of the co-founders and organizers of the Lisbon Machine Learning Summer School (LxMLS).

Papers published

2019

Selective attention for context-aware neural machine translation.

Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'19) 2019

Learning classifiers with Fenchel-Young losses: Generalized entropies, margins, and algorithms

International Conference on Artificial Intelligence and Statistics (AISTATS'19) 2019

2018

Towards Dynamic Computation Graphs via Sparse Latent Structure.

Conference on Empirical Methods in Natural Language Processing (EMNLP'18) 2018

SparseMAP: Differentiable Sparse Structured Inference.

International Conference on Machine Learning (ICML'18) 2018

Sparse and Constrained Attention for Neural Machine Translation.

Annual Meeting of the Association for Computational Linguistics (ACL'18) 2018

2017

The Interact Project and Crisis MT.

XVI Machine Translation Summit 2017

Projects

  • DeepSPIN

    Deep learning is revolutionizing the field of Natural Language Processing (NLP), with breakthroughs in machine translation, speech recognition, and question answering. New language interfaces (digital assistants, messenger apps, customer service bots) are emerging as the next technologies for seamless, multilingual communication among humans and machines.