I am a researcher in natural language processing (NLP) in the Lattice team (CNRS). I got my PhD in 2019 from the university of Lille (France). I prepared it in the [Magnet] (https://team.inria.fr/magnet/) team at Inria Lille, under the supervision of Pascal Denis and Marc Tommasi. I then did a post-doc of 18 months at the university of A Coruña (Spain) in the FastParse team of Carlos Gómez-Rodríguez until december 2020.

Research Interests

I am interested in several aspects of natural languages. Most of my work has focused on syntactic analysis in a multilingual environment. But I am also interested in morphological analysis, low resource languages, historical linguistics and cross-lingual annotation consistency, amongst other.

I also work on computability and complexity theory and related areas of computer science and mathematics.

Publications

2021

• A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing.
  Mark Anderson, Mathieu Dehouck and Carlos Gómez-Rodríguez.
  IWPT 2021, Covid-19 virtual venue.
  [arXiv]

• Revisiting modal sense classification with state-of-the-art language models.
  Mathieu Dehouck and Pascal Denis.
  ISLE 6 workshops: Rethinking English modal constructions: From feature-based paradigms to usage-based probabilistic representations, June 2021, Covid-19 virtual venue. (abstract)
  [isle]

• La phylogénie des langues au service de l’analyse automatique.
  Mathieu Dehouck and Pascal Denis.
  La lettre de l’InSHS, n. 69, January 2021.
  [cnrs]

2020

• Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages.
  Mathieu Dehouck and Carlos Gómez-Rodríguez.
  Coling 2020, Covid-19 virtual venue.
  [acl]

• Efficient EUD Parsing.
  Mark Anderson, Mathieu Dehouck and Carlos Gómez-Rodríguez.
  IWPT 2020 shared task, Covid-19 virtual venue.
  [iwpt]

2019

• Phylogenetic Multi-Lingual Dependency Parsing.
  Mathieu Dehouck and Pascal Denis.
  NAACL 2019, Minneapolis, USA.
  [acl]

• Modal sense classification with task-specific context embeddings.
  Bo Li, Mathieu Dehouck and Pascal Denis.
  ESANN 2019, Bruges, Belgium.
  [esann]

2018

• A Framework for Understanding the Role of Morphology in Universal Dependency Parsing.
  Mathieu Dehouck and Pascal Denis.
  EMNLP 2018, Brussels, Belgium.
  [acl]

2017

• Delexicalized Word Embeddings for Cross-lingual Dependency Parsing.
  Mathieu Dehouck and Pascal Denis.
  EACL 2017, Valencia, Spain.
  [acl]

• Learning Morpho-Syntactic Attributes Representation for Cross-Lingual Dependency Parsing.
  Mathieu Dehouck and Pascal Denis.
  CLIN27, Leuven, Belgium. (abstract)
  [clin]

2013

• Pragmatic Visualizations for Roassal: a Florilegium.
  Mathieu Dehouck, Usman Bhatti, Alexandre Bergel, and Stéphane Ducasse.
  IWST 2013, Annecy, France.
  [hal]

Thesis

• Multi-Lingual Dependency Parsing : Word Representation and Joint Training for Syntactic Analysis.
  Mathieu Dehouck.
  PhD thesis, 2019.
  [theses]