My name is Mathieu Dehouck. I am a French-Belgian Ph.D student in Natural Language Processing and Machine Learning in Magnet team at Inria Lille. My supervisors are Pascal Denis and Marc Tommasi.
I apply graph-based learning algorithms and representation learning to NLP problems. My primary focus is multi-lingual dependency parsing using morphological information.
Besides of my Ph.D, I gave computer science tutorials at Lille University to undergraduate students in MIASHS (Mathematics and Informatics Applied to Social and Human Sciences).
I am passionate about Human Languages in their historical and grammatical aspects. Each language taken separately, is a coherent system with its own rules and possibilities, expressed via grammar, morphology, phonology and writing. But languages taken together form a new, deeper and more complex system full of shared legacies, innovations and influences. And that is simply amazing.
I am also fond of Mathematics, Physics and Computer Science. And I dedicate a lot of my time to the understanding of formal languages, complexity theory, algebra and related topics.
In the remaining of my free time, I study languages, I play music (and make music instruments), I cook and I craft (sewing, knitting, conlanging...). Once in a while, I go to Kendo lessons.