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Papers

Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato. In arXiv:1711.04956, 2017.
Abstract
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli. In arXiv:1711.05217, 2017.
Abstract
QuickEdit: Editing Text & Translations via Simple Delete Actions
David Grangier, Michael Auli. In arXiv:1711.04805, 2017.
Abstract
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin. In ICML, 2017.
Abstract Code
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin, Angela Fan, Michael Auli and David Grangier. In ICML, 2017.
Abstract
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin. In ACL, 2017.
Abstract
Iterative Refinement for Machine Translation
Roman Novak, Michael Auli, David Grangier. In arXiv:1610.06602, 2016.
Abstract
Vocabulary Selection Strategies for Neural Machine Translation
Gurvan L'Hostis, David Grangier, Michael Auli. In arXiv:1610.00072, 2016.
Abstract
Neural Text Generation from Structured Data with Application to the Biography Domain
Remi Lebret, David Grangier, and Michael Auli. In Proc. of EMNLP, 2016.
Abstract Data
Neural Network-based Word Alignment through Score Aggregation
Joel Legrand, Michael Auli, and Ronan Collobert. In Proc. of WMT, 2016.
Abstract
Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen, David Grangier, Michael Auli. In Proc. of ACL, 2016.
Abstract
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Wenduan Xu, Michael Auli, and Stephen Clark. In Proc. of NAACL, 2016.
Abstract
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra, Michael Auli, and Alexander M. Rush. In Proc. of NAACL, 2016.
Abstract
Sequence Level Training with Recurrent Neural Networks
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. In Proc. of ICLR, 2016.
Abstract Code
CCG Supertagging with a Recurrent Neural Network
Wenduan Xu, Michael Auli, and Stephen Clark. In Proc. of ACL, 2015.
Abstract
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao and Bill Dolan. In Proc. of ACL, 2015.
Abstract
Learning Translation Models from Monolingual Continuous Representations
Kai Zhao, Hany Hassan, and Michael Auli. In Proc. of NAACL, 2015.
Abstract
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jianfeng Gao, Bill Dolan, and Jian-Yun Nie. In Proc. of NAACL, 2015.
Abstract
Large Scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, and Jianfeng Gao. In Proc. of EMNLP, 2014.
Abstract
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models
Michael Auli and Jianfeng Gao. In Proc. of ACL, 2014.
Abstract
Minimum Translation Modeling with Recurrent Neural Networks
Yuening Hu, Michael Auli, Qin Gao, and Jianfeng Gao. In Proc. of EACL, 2014.
Abstract
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli, Michel Galley, Chris Quirk, and Geoffrey Zweig. In Proc. of EMNLP, 2013.
Abstract
Integrated Supertagging and Parsing
Ph.D. Thesis, University of Edinburgh. 2012.
Abstract
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Michael Auli and Adam Lopez. In Proc. of EMNLP, 2011.
Abstract
A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing
Michael Auli and Adam Lopez. In Proc. of ACL, 2011.
Abstract
Efficient CCG Parsing: A* versus Adaptive Supertagging
Michael Auli and Adam Lopez. In Proc. of ACL, 2011.
Abstract
CCG-based Models for Statistical Machine Translation
First-Year Ph.D. Report, University of Edinburgh. 2009.
Abstract
A Systematic Analysis of Translation Model Search Spaces
Michael Auli, Adam Lopez, Hieu Hoang, and Philipp Koehn. In Proc. of WMT, 2009.
Abstract

Talks

Feel free to use my talk slides as you like but please acknowledge so if you do.

Sequence to Sequence Learning: Fast Training and Inference with Gated Convolutions
Talk at Johns Hopkins University, Oct 2017.
Learning to translate with neural networks
Talk at Facebook, Google, Amazon and the University of Washington, 2014.
Integrated Parsing and Tagging
Talk at Carnegie Mellon University, Johns Hopkins University, BBN Technologies, IBM Research and Microsoft Research, 2011.