John DeNero

According to our database, John DeNero authored at least 58 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Innovation in Data Science Education.

Eric Van Dusen, John DeNero, Kseniya Usovich

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Automatic Correction of Human Translations.

Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, John DeNero

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia.

Samee Ibraheem, Gaoyue Zhou, John DeNero

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Measuring the Effects of Human and Machine Translation on Website Engagement.

Geza Kovacs, John DeNero

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data.

Nicholas Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu

J. Biomed. Informatics, 2021

Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley.

Ani Adhikari, John DeNero, Michael I. Jordan

CoRR, 2021

Automatic Bilingual Markup Transfer.

Thomas Zenkel, Joern Wuebker, John DeNero

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data.

Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu

CoRR, 2020

Nifty Assignments.

Nick Parlante, Julie Zelenski, John DeNero, Christopher Allsman, Tiffany Perumpail, Rahul Arya, Kavi Gupta, Catherine Cang, Paul Bitutsky, Ryan Moughan, David J. Malan, Brian Yu, Evan M. Peck, Carl Albing, Kevin Wayne, Keith Schwarz

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

A Streaming Approach For Efficient Batched Beam Search.

Kevin Yang, Violet Yao, John DeNero, Dan Klein

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Investigating the Behavior of Malicious Actors Through the Game of Mafia.

Samee Ibraheem, Vael Gates, John DeNero, Tom Griffiths

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

End-to-End Neural Word Alignment Outperforms GIZA++.

Thomas Zenkel, Joern Wuebker, John DeNero

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Adding Interpretable Attention to Neural Translation Models Improves Word Alignment.

Thomas Zenkel, Joern Wuebker, John DeNero

CoRR, 2019

Measuring Immediate Adaptation Performance for Neural Machine Translation.

Patrick Simianer, Joern Wuebker, John DeNero

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Guiding Policies with Language via Meta-Learning.

John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Guiding Policies with Language via Meta-Learning.

John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, Sergey Levine

CoRR, 2018

Compact Personalized Models for Neural Machine Translation.

Joern Wuebker, Patrick Simianer, John DeNero

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Beyond Autograding: Advances in Student Feedback Platforms.

John DeNero, Sumukh Sridhara, Manuel A. Pérez-Quiñones, Aatish Nayak, Ben Leong

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Learning an Interactive Attention Policy for Neural Machine Translation.

Samee Ibraheem, Nicholas Altieri, John DeNero

Proceedings of Machine Translation Summit XVI, Volume 1: Research Track, 2017

2016

Nifty Assignments.

Nick Parlante, Julie Zelenski, Baker Franke, Arvind Bhusnurmath, Karen Her, Kristen Gee, Eric D. Manley, Timothy Urness, Marvin Zhang, Brian Hou, John DeNero, Josh Hug, Kevin Wayne

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

CS10K Teachers by 2017?: Try CS1K+ students NOW! Coping with the Largest CS1 Courses in History.

Daniel D. Garcia, Jennifer Campbell, John DeNero, Mary Lou Dorf, Stuart Reges

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Identifying Student Misunderstandings using Constructed Responses.

Kristin Stephens-Martinez, An Ju, Colin Schoen, John DeNero, Armando Fox

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Fuzz Testing Projects in Massive Courses.

Sumukh Sridhara, Brian Hou, Jeffrey Lu, John DeNero

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language.

Aneiss Ghodsi, John DeNero

Proceedings of the INLG 2016, 2016

Models and Inference for Prefix-Constrained Machine Translation.

Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Problems Before Solutions: Automated Problem Clarification at Scale.

Soumya Basu, Albert Wu, Brian Hou, John DeNero

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Hierarchical Incremental Adaptation for Statistical Machine Translation.

Joern Wuebker, Spence Green, John DeNero

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Variable-Length Word Encodings for Neural Translation Models.

Rohan Chitnis, John DeNero

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Nifty assignments.

Nick Parlante, Julie Zelenski, Josh Hug, John Nicholson, John DeNero, Antti Laaksonen, Arto Vihavainen, Frank McCown, Kevin Wayne

Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014

Teaching composition quality at scale: human judgment in the age of autograders.

John DeNero, Stephen Martinis

Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014

Observational Initialization of Type-Supervised Taggers.

Hui Zhang, John DeNero

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Constrained Viterbi Relaxation for Bidirectional Word Alignment.

Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Nifty assignments.

Nick Parlante, Julie Zelenski, Michelle Craig, John DeNero, Mark Guzdial, David J. Malan, Aditi S. Muralidharan, Eric Roberts, Kevin Wayne

Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Supervised Learning of Complete Morphological Paradigms.

Greg Durrett, John DeNero

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Identifying Phrasal Verbs Using Many Bilingual Corpora.

Karl Pichotta, John DeNero

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Unsupervised Translation Sense Clustering.

Mohit Bansal, John DeNero, Dekang Lin

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

A Class-Based Agreement Model for Generating Accurately Inflected Translations.

Spence Green, John DeNero

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

A Feature-Rich Constituent Context Model for Grammar Induction.

Dave Golland, John DeNero, Jakob Uszkoreit

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

L1 and L2 regularization for multiclass hinge loss models.

Robert Moore, John DeNero

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Inducing Sentence Structure from Parallel Corpora for Reordering.

John DeNero, Jakob Uszkoreit

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Model-Based Aligner Combination Using Dual Decomposition.

John DeNero, Klaus Macherey

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Phrase Alignment Models for Statistical Machine Translation.

John DeNero

PhD thesis, 2010

Model Combination for Machine Translation.

John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Painless Unsupervised Learning with Features.

Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Model AI Assignments.

Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks

Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Teaching Introductory Artificial Intelligence with Pac-Man.

John DeNero, Dan Klein

Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Discriminative Modeling of Extraction Sets for Machine Translation.

John DeNero, Dan Klein

Proceedings of the ACL 2010, 2010

2009

Efficient Parsing for Transducer Grammars.

John DeNero, Mohit Bansal, Adam Pauls, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Consensus Training for Consensus Decoding in Machine Translation.

Adam Pauls, John DeNero, Dan Klein

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Better Word Alignments with Supervised ITG Models.

Aria Haghighi, John Blitzer, John DeNero, Dan Klein

Proceedings of the ACL 2009, 2009

Asynchronous Binarization for Synchronous Grammars.

John DeNero, Adam Pauls, Dan Klein

Proceedings of the ACL 2009, 2009

Fast Consensus Decoding over Translation Forests.

John DeNero, David Chiang, Kevin Knight

Proceedings of the ACL 2009, 2009

2008

Sampling Alignment Structure under a Bayesian Translation Model.

John DeNero, Alexandre Bouchard-Côté, Dan Klein

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

The Complexity of Phrase Alignment Problems.

John DeNero, Dan Klein

Proceedings of the ACL 2008, 2008

2007

Approximate Factoring for A* Search.

Aria Haghighi, John DeNero, Dan Klein

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Tailoring Word Alignments to Syntactic Machine Translation.

John DeNero, Dan Klein

Proceedings of the ACL 2007, 2007

A* Search via Approximate Factoring.

Aria Haghighi, John DeNero, Dan Klein

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Why Generative Phrase Models Underperform Surface Heuristics.

John DeNero, Dan Gillick, James Zhang, Dan Klein

Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006