Alessandro Sordoni
Alessandro Sordoni
Microsoft Research
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Zitiert von
Zitiert von
Building end-to-end dialogue systems using generative hierarchical neural network models
I Serban, A Sordoni, Y Bengio, A Courville, J Pineau
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
A hierarchical latent variable encoder-decoder model for generating dialogues
I Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
A neural network approach to context-sensitive generation of conversational responses
A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ...
arXiv preprint arXiv:1506.06714, 2015
Newsqa: A machine comprehension dataset
A Trischler, T Wang, X Yuan, J Harris, A Sordoni, P Bachman, K Suleman
arXiv preprint arXiv:1611.09830, 2016
An Empirical Study of Example Forgetting during Deep Neural Network Learning
M Toneva, A Sordoni, R Tachet, A Trischler, Y Bengio, G Gordon
International Conference on Learning Representations, 2019
A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
A Sordoni, Y Bengio, H Vahabi, C Lioma, J Grue Simonsen, JY Nie
proceedings of the 24th ACM international on conference on information and …, 2015
Augmented cyclegan: Learning many-to-many mappings from unpaired data
A Almahairi, S Rajeshwar, A Sordoni, P Bachman, A Courville
International conference on machine learning, 195-204, 2018
Ordered neurons: Integrating tree structures into recurrent neural networks
Y Shen, S Tan, A Sordoni, A Courville
arXiv preprint arXiv:1810.09536, 2018
Machine comprehension by text-to-text neural question generation
X Yuan, T Wang, C Gulcehre, A Sordoni, P Bachman, S Subramanian, ...
arXiv preprint arXiv:1705.02012, 2017
Z-forcing: Training stochastic recurrent networks
AG ALIAS PARTH GOYAL, A Sordoni, MA Côté, NR Ke, Y Bengio
Advances in neural information processing systems 30, 2017
Learning algorithms for active learning
P Bachman, A Sordoni, A Trischler
international conference on machine learning, 301-310, 2017
deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets
M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ...
arXiv preprint arXiv:1506.06863, 2015
Exploring and predicting transferability across NLP tasks
T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ...
arXiv preprint arXiv:2005.00770, 2020
Modeling term dependencies with quantum language models for IR
A Sordoni, JY Nie, Y Bengio
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
Iterative alternating neural attention for machine reading
A Sordoni, P Bachman, A Trischler, Y Bengio
arXiv preprint arXiv:1606.02245, 2016
Natural language comprehension with the epireader
A Trischler, Z Ye, X Yuan, K Suleman
arXiv preprint arXiv:1606.02270, 2016
Straight to the tree: Constituency parsing with neural syntactic distance
Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio
arXiv preprint arXiv:1806.04168, 2018
Understanding by understanding not: Modeling negation in language models
A Hosseini, S Reddy, D Bahdanau, RD Hjelm, A Sordoni, A Courville
arXiv preprint arXiv:2105.03519, 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples
Y Yaghoobzadeh, R Tachet, TJ Hazen, A Sordoni
arXiv preprint arXiv:1911.03861, 2019
Twin networks: Matching the future for sequence generation
D Serdyuk, NR Ke, A Sordoni, A Trischler, C Pal, Y Bengio
arXiv preprint arXiv:1708.06742, 2017
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