Guiding attention in sequence-to-sequence models for dialogue act prediction P Colombo, E Chapuis, M Manica, E Vignon, G Varni, C Clavel Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7594-7601, 2020 | 37 | 2020 |
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 30 | 2021 |
Hierarchical pre-training for sequence labelling in spoken dialog E Chapuis, P Colombo, M Manica, M Labeau, C Clavel arXiv preprint arXiv:2009.11152, 2020 | 29 | 2020 |
Improving multimodal fusion via mutual dependency maximisation P Colombo, E Chapuis, M Labeau, C Clavel arXiv preprint arXiv:2109.00922, 2021 | 17 | 2021 |
Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Joniak, Denis Kleyko, Venelin Kovatchev, and et al, 2021 | 9 | 2021 |
Code-switched inspired losses for generic spoken dialog representations E Chapuis, P Colombo, M Labeau, C Clavel arXiv preprint arXiv:2108.12465, 2021 | 7 | 2021 |
Code-switched inspired losses for spoken dialog representations P Colombo, E Chapuis, M Labeau, C Clavel Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 4 | 2021 |
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue P Colombo, E Chapuis, M Manica, E Vignon, G Varni, C Clavel arXiv preprint arXiv:2002.09419, 2020 | | 2020 |