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Tom Bosc
Tom Bosc
Illumina AI Lab
Verified email at illumina.com - Homepage
Title
Cited by
Cited by
Year
Learning to compute word embeddings on the fly
D Bahdanau, T Bosc, S Jastrzębski, E Grefenstette, P Vincent, Y Bengio
arXiv preprint arXiv:1706.00286, 2017
952017
Tweeties Squabbling: Positive and Negative Results in Applying Argument Mining on Social Media.
T Bosc, E Cabrio, S Villata
COMMA 2016, 21-32, 2016
622016
Auto-encoding dictionary definitions into consistent word embeddings
T Bosc, P Vincent
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
582018
DART: A dataset of arguments and their relations on Twitter
T Bosc, E Cabrio, S Villata
Proceedings of the 10th edition of the Language Resources and Evaluation …, 2016
432016
Learning GFlowNets from partial episodes for improved convergence and stability
K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, AC Nica, ...
International Conference on Machine Learning, 23467-23483, 2023
372023
Do sequence-to-sequence VAEs learn global features of sentences?
T Bosc, P Vincent
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
142020
Learning to learn neural networks
T Bosc
arXiv preprint arXiv:1610.06072, 2016
82016
Varying meaning complexity to explain and measure compositionality
T Bosc
Emergent Communication Workshop at ICLR 2022, 2022
52022
Learning word embeddings from dictionary definitions only
T Bosc, P Vincent
Proceedings of the NIPS 2017 Workshop on Meta-Learning, 2017
42017
The Emergence of Argument Structure in Artificial Languages
T Bosc, P Vincent
Transactions of the Association for Computational Linguistics 10, 1375-1391, 2022
12022
Autoencoders for natural language semantics
T Bosc
2023
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Articles 1–11