Content

Postdoctoral Researcher at Stanford University

Publications

Papers

 

Semantic Textual Similarity
Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo
In Preparation for Computational Linguistics

Positive Diversity Tuning for Machine Translation System Combination
Daniel Cer, Christopher D. Manning and Dan Jurafsky
Proceedings of the Eighth Workshop on Statistical Machine Translation (WMT 2013). 2013 [PDF]

Feature-Rich Phrase-based Translation: Stanford University’s Submission to the WMT 2013 Translation Task
Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert and Christopher D. Manning
Proceedings of the Eighth Workshop on Statistical Machine Translation (WMT 2013). 2013  [PDF]

Fast and Adaptive Online Training of Feature-Rich Translation Models
Spence Green, Sida Wang, Daniel Cer and Christopher D. Manning
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013). 2013 [PDF]

*SEM 2013 shared task: Semantic Textual Similarity
Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo
Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*SEM 2013). 2013 [PDF]

Stanford: Probabilistic Edit Distance Metrics for STS.
Mengqiu Wang and Daniel Cer.
Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012). 2012 [PDF]

SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity.
Eneko Agirre, Daniel Cer, Mona Diab and Aitor Gonzalez-Agirre.
Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012). 2012 [PDF]

Phrasal: A Toolkit for Statistical Machine Translation with Facilities for Extraction and Incorporation of Arbitrary Model Features
Daniel Cer, Michel Galley, Daniel Jurafsky and Christopher Manning
Proceedings of the North American Association of Computational Linguistics – Demo Session (NAACL-10). 2010 [PDF]

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
Daniel Cer, Daniel Jurafsky and Christopher Manning
Proceedings of the North American Association of Computational Linguistics (NAACL-10). 2010 [PDF]

Parsing to Stanford Dependencies: Trade-offs between speed and accuracy
Daniel Cer, Marie-Catherine de Marneffe, Dan Jurafsky and Chris Manning
Proceedings of Language Resources Evaluation Conference (LREC-10). 2010 [PDF]

Measuring Machine Translation Quality as Semantic Equivalence: A Metric Based on Entailment Features.
Sebastian Padó, Daniel Cer, Michel Galley, Dan Jurafsky, Christopher D. Manning.
Machine Translation. Nov 2009 [Springer]

Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation.
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, Christopher D. Manning.
The 2009 NIST Open Machine Translation Evaluation Meeting. [PDF]

Regularization and Search for Minimum Error Rate Training.
Daniel Cer, Daniel Jurafsky, and Christopher D. Manning.
Proceedings of the Third Workshop on Statistical Machine Translation. 2008 [PDF]

Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation.
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, and Christopher D. Manning.
Proceedings of the 2008 NIST Open Machine Translation Evaluation Workshop. [PDF]

Aligning semantic graphs for textual inference and machine reading.
Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chloe Kiddon and Christopher D. Manning.
In AAAI Spring Symposium at Stanford. 2007 [PDF]

Learning Alignments and Leveraging Natural Logic.
Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloe Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh and Christopher D. Manning.
In ACL-PASCAL Workshop on Textual Entailment and Paraphrasing. 2007 [PDF]

Learning to recognize features of valid textual entailments.
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel Cer and Christopher D. Manning.
In Proceedings of the North American Association of Computational Linguistics (NAACL-06). 2006 [PDF]

Learning to distinguish valid textual entailments.
Marie-Catherine de Marneffe, Bill MacCartney, Trond Grenager, Daniel Cer, Anna Rafferty and Christopher D. Manning.
In Proceedings of the Second PASCAL Challenges Workshop. 2006 [PDF]

The Detection of Emphatic Words Using Acoustic and Lexical Features.
Jason M. Brenier, Daniel Cer and Daniel Jurafsky.
In Proceedings of EUROSPEECH. 2005 [PDF]

Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity.
Dave Jilk, Daniel M. Cer, & Randall C. O’Reilly.
In Proceedings of the Computational Neuroscience Conference. 2003 [PDF]

Issues in Recognition of Spanish-Accented Spontaneous English.
Ayako Ikeno, Bryan Pellom, Dan Cer, Ashley Thornton, Jason Brenier, Dan Jurafsky, Wayne Ward, William Byrne.
In IEEE ISCA & IEEE Workshop on Spontaneous Speech Processing and Recognition. 2003 [PDF]

Presentations

 

Emphasis detection in speech using acoustic & lexical features.
Jason M. Brenier, Daniel Cer, & Dan Jurafsky.
Presented at Linguistic Society of America annual meeting. 2005

Supervised and unsupervised models for propositional analysis.
Simon Dennis, Dan Jurafsky, & Dan Cer
Presented at Workshop on Syntax, Semantics and Statistics at the Neural Information Processing Society Conference. 2003

Book Chapters

 

Neural mechanisms of binding in the hippocampus and neocortex: Insights from computational models.
Daniel Cer & Randall C. O’Reilly.
In H.D. Zimmer & A. Mecklinger & U. Lindenberger (Eds) Handbook of Binding and Memory, Oxford: Oxford University Press. 2006 [Amazon] [OUP]