My research area is computational linguistics and natural language processing. Currently I am working on distributional compositional semantic models.
More broadly, my academic interests include machine learning, artificial intelligence, quantum computing and cryptography, functional programming, and category theory.
When I am not being a science nerd, I can usually be found hiking somewhere in the Alps, or cycling around Cambridge.
My name is pronounced [ʒɑ̃], as in the character Jean Valjean in Victor Hugo's Les Misérables.
L Rimell, J Maillard, T Polajnar, S Clark. 2016.
“RELPRON: A Relative Clause Evaluation Dataset for Compositional Distributional Semantics”. In review.
E Shutova, D Kiela, J Maillard. 2016.
“Black Holes and White Rabbits: Metaphor Identification with Visual Features”. PDF
Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2016).
Best Paper Runner Up.
J Maillard, S Clark. 2015.
“Learning Adjective Meanings with a Tensor-Based Skip-Gram Model”. PDF
Proceedings of the 19th Conference on Computational Natural Language Learning (CoNLL 2015).
J Maillard, S Clark, E Grefenstette. 2014.
“A Type-Driven Tensor-Based Semantics for CCG”. PDF
In the EACL 2014 workshop on Type Theory and Natural Language Semantics (TTNLS).
See more here.