Publications

Samee Ibraheem, Nicholas Altieri and John DeNero. Learning an Interactive Attention Policy for Neural Machine Translation. MT Summit, 2017.

Nicholas Altieri, Sherdil Niyaz, Samee Ibraheem and John DeNero. Improved Word and Symbol Embedding for Part-of-Speech Tagging. International Workshop on Symbolic-Neural Learning, 2017.

John DeNero, Sumukh Sridhara, Manuel Pérez-Quiñones, Aatish Nayak and Ben Leong. Beyond Autograding: Advances in Student Feedback Platforms. SIGCSE Panel, 2017.

Joern Wuebker, Spence Green, John DeNero, Sasa Hasan and Minh-Thang Luong. Models and Inference for Prefix-Constrained Machine Translation. Proceedings of the Association for Computational Linguistics, 2016.

Brian Hou, Marvin Zhang and John DeNero. Restaurant Recommendations. SIGCSE Nifty Assignments, 2016.

Sumukh Sridhara, Brian Hou, Jeffrey Lu and John DeNero. Fuzz Testing Projects in Massive Courses. Learning at Scale, 2016. (slides)

Kristin Stephens-Martinez, An Ju, Colin Schoen, John DeNero and Armando Fox. Identifying Student Misunderstandings using Constructed Responses. Learning at Scale (Extended Abstract), 2016.

Joern Wuebker, Spence Green and John DeNero. Hierarchical Incremental Adaptation for Statistical Machine Translation. Proceedings of Empirical Methods in Natural Language Processing, 2015.

Rohan Chitnis and John DeNero. Variable-Length Word Encodings for Neural Translation Models. Proceedings of Empirical Methods in Natural Language Processing, 2015.

Soumya Basu, Albert Wu, Brian Hou and John DeNero. Problems Before Solutions: Automated Problem Clarification at Scale. Learning at Scale, 2015.

Yin-Wen Chang, Alexander M. Rush, John DeNero and Michael Collins. A Constrained Viterbi Relaxation for Bidirectional Word Alignment. Proceedings of the Association for Computational Linguistics, 2014.

Hui Zhang and John DeNero. Observational Initialization of Type-Supervised Taggers. Proceedings of the Association for Computational Linguistics (Short Paper Track), 2014.

John DeNero and Stephen Martinis. Teaching Composition Quality at Scale. Proceedings of SIGCSE, 2014. (slides)

John DeNero, Tom Magrino and Eric Tzeng. Object-Oriented Tower Defense. SIGCSE Nifty Assignments, 2014. (slides)

Karl Pichotta and John DeNero. Identifying Phrasal Verbs Using Many Bilingual Corpora. Proceedings of Empirical Methods in Natural Language Processing, 2013.

Greg Durrett and John DeNero. Supervised Learning of Complete Morphological Paradigms. Proceedings of the North American Chapter of the Association for Computational Linguistics, 2013.

John DeNero and Aditi Muralidharan. Twitter Trends Project. SIGCSE Nifty Assignments, 2013. (slides)

Mohit Bansal, John DeNero and Dekang Lin. Unsupervised Translation Sense Clustering. Proceedings of the North American Association of Computational Linguistics, 2012.

Dave Golland, John DeNero and Jakob Uszkoreit. A Feature-Rich Constituent Context Model for Grammar Induction. Proceedings of the Association for Computational Linguistics, 2012.

Spence Green and John DeNero. A Class-Based Agreement Model for Generating Accurately Inflected Translations. Proceedings of the Association for Computational Linguistics, 2012.

John DeNero and Klaus Macherey. Model-Based Aligner Combination Using Dual Decomposition. Proceedings of the Association for Computational Linguistics, 2011. (slides)

Robert C. Moore and John DeNero. L1 and L2 Regularization for Multiclass Hinge Loss Models. Proceedings of the Symposium on Machine Learning in Speech and Language Processing, 2011.

John DeNero and Jakob Uszkoreit. Inducing Sentence Structure from Parallel Corpora for Reordering. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2011. (slides)

John DeNero. Phrase Alignment Models for Statistical Machine Translation. PhD Dissertation, 2010. (slides)

John DeNero and Dan Klein. Discriminative Modeling of Extraction Sets for Machine Translation. In proceedings of ACL, 2010. (slides)

John DeNero, Shankar Kumar, Ciprian Chelba and Franz Och. Model Combination for Machine Translation. In proceedings of NAACL, 2010. (slides)

John DeNero and Dan Klein. Teaching Introductory Artificial Intelligence with Pac-Man. In proceedings of the Symposium on Educational Advances in Artificial Intelligence (EAAI), 2010.

John DeNero and Dan Klein. The Pac-Man Projects Software Package for Introductory Artificial Intelligence. In proceedings of the Symposium on Educational Advances in Artificial Intelligence, Model Assignments Track, 2010.

Taylor Berg-Kirkpatrick, Alexandre Bouchard-Cote, John DeNero and Dan Klein. Painless Unsupervised Learning with Features. In proceedings of NAACL, 2010. (slides)

John DeNero, David Chiang and Kevin Knight. Fast Consensus Decoding over Translation Forests. In proceedings of ACL, 2009. (slides)

Adam Pauls, John DeNero and Dan Klein. Consensus Training for Consensus Decoding in Machine Translation. In proceedings of EMNLP, 2009.

John DeNero, Adam Pauls and Dan Klein. Asynchronous Binarization for Synchronous Grammars. In proceedings of ACL-IJCNLP Short Paper Track, 2009. (slides)

Aria Haghighi, John Blitzer, John DeNero and Dan Klein. Better Word Alignments with Supervised ITG Models. In proceedings of ACL-IJCNLP, 2009.

John DeNero, Mohit Bansal, Adam Pauls and Dan Klein. Efficient Parsing for Transducer Grammars. In proceedings of NAACL, 2009.

John DeNero, Alex Bouchard-Cote and Dan Klein. Sampling Alignment Structure under a Bayesian Translation Model. In proceedings of EMNLP, 2008.

John DeNero and Dan Klein. The Complexity of Phrase Alignment Models. In proceedings of ACL Short Paper Track, 2008. (slides)

Aria Haghighi, John DeNero and Dan Klein. A* Search via Approximate Factoring. In proceedings of AAAI (Nectar Track), 2007.

John DeNero and Dan Klein. Tailoring Word Alignments to Syntactic Machine Translation. In proceedings of ACL, 2007. (slides)

Aria Haghighi, John DeNero and Dan Klein. Approximate Factoring for A* Search. In proceedings of HLT-NAACL, 2007.

John DeNero, Dan Gillick, James Zhang and Dan Klein. Why Generative Phrase Models Underperform Surface Heuristics. Workshop on Statistical Machine Translation at HLT-NAACL, 2006. (slides)