Journals and conferences
J Maillard, V Karpukhin, F Petroni, W Yih, B Oğuz, V Stoyanov, G Ghosh (2021). “Multi-task Retrieval for Knowledge-Intensive Tasks”. Preprint: arXiv:2101.00117. PDF
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, Y Jernite, V Karpukhin, J Maillard, V Plachouras, T Rocktäschel, S Riedel (2020). “KILT: a benchmark for knowledge intensive language tasks”. To appear in: 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics. PDF
A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, Y Mehdad, V Stoyanov, A Kumar, M Lewis, S Gupta (2020). “Conversational Semantic Parsing”. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. PDF BibTeX
VG Djokic, J Maillard, L Bulat, E Shutova (2020). “Decoding brain activity associated with literal and metaphoric sentence comprehension using distributional semantic models”. Transactions of the Association for Computational Linguistics 8, 231-246. PDF BibTeX
VG Djokic, J Maillard, L Bulat, E Shutova (2019). “Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models”. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. PDF BibTeX
J Maillard, S Clark (2018). “Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing”. ACL 2018 workshop on Relevance of Linguistic Structure in Neural Architectures for NLP. PDF BibTeX
E Shutova, D Kiela, J Maillard (2016). “Black Holes and White Rabbits: Metaphor Identification with Visual Features”. Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2016) PDF
Best Paper Runner Up.
J Maillard, S Clark (2015). “Learning Adjective Meanings with a Tensor-Based Skip-Gram Model”. Proceedings of the 19th Conference on Computational Natural Language Learning (CoNLL 2015) PDF
J Maillard, S Clark, E Grefenstette (2014). “A Type-Driven Tensor-Based Semantics for CCG”. Proceedings of the EACL 2014 workshop on Type Theory and Natural Language Semantics (TTNLS) PDF
J Maillard, S Clark (2015). “A Tensor Skip-Gram Model for Learning Noun and Adjective Representations”.. At the International Conference on Computational Semantics (IWCS) workshop on Advances in Distributional Semantics.
J Maillard, supervised by Dr S Clark (2014). “Theory and Practice of Type-Driven Compositional Semantics”. MPhil Thesis, University of Cambridge.
Google Prize for Best MPhil Project 2015
J Maillard, supervised by Drs N Datta and W Matthews (2013). “Quantum Data Hiding”. Part III Mathematics Essay, University of Cambridge.
J Maillard, supervised by Dr M Tame (2012). “Quantum Secret Sharing with Entangled States”. BSc Thesis, Imperial College London.