André Martins

VP of AI Research @ Unbabel
 https://andre-martins.github.io/

André Martins is the VP of AI Research at Unbabel, a research scientist at Instituto de Telecomunicações, and an invited professor at Instituto Superior Técnico in the University of Lisbon. He received his dual-degree PhD in Language Technologies in 2012 from Carnegie Mellon University and Instituto Superior Técnico. His research interests include natural language processing, machine learning, deep learning, and optimization. He received a best paper award at the Annual Meeting of the Association for Computational Linguistics (ACL) for his work in natural language syntax, and a SCS Honorable Mention at CMU for his PhD dissertation. He is one of the co-founders and organizers of the Lisbon Machine Learning Summer School (LxMLS).

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All Sessions by André Martins

  • Auditorium Precision


  • 12h30  - 13h00
    In this talk, I will present a tutorial on translation quality estimation, a task of growing importance in NLP, due to its potential to reduce post-editing human effort in disruptive ways. In particular, I will present Unbabel's quality estimation system, where we achieve remarkable improvements by exploiting synergies between the related tasks of word-level quality estimation and automatic post-editing. First, we stack a new, carefully engineered, neural model into a rich feature-based word-level quality estimation system. Then, we use the output of an automatic post-editing system as an extra feature, obtaining a new state of the art for word-level and sentence-level quality estimation. I will end with some thoughts about future work in this area.
    Deep Learning
    Machine Translation
    NLP




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André Martins