Marcos Treviso

Instituto de Telecomunicações, Lisbon, Portugal

I am an ML ∩ NLP Ph.D student in the DeepSPIN project, an ERC-funded research project coordinated by Prof. André Martins at IST / University of Lisbon. In the past few years, I’ve been working with explainability to shed light on predictions made by NLP models, with focus on neural-based models for Quality Estimation and Machine Translation.

I obtained my M.Sc. in Computer Science and Computational Mathematics at the University of São Paulo (USP) under the supervision of Prof. Sandra M. Aluísio. As part of my Master’s thesis, I developed a tool based on convolutional/recurrent neural networks to detect sentence boundaries and speech disfluences in impaired speech transcripts.