2011
Generative Models of Monolingual and Bilingual Gappy Patterns
Kevin Gimpel and Noah A. Smith
WMT 2011
[paper]
[slides]
[code]
[bib]
The CMU-ARK German-English Translation System
Chris Dyer, Kevin Gimpel, Jonathan H. Clark, and Noah A. Smith
WMT 2011
[paper]
[bib]
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation
Kevin Gimpel and Noah A. Smith
EMNLP 2011
[paper]
[slides]
[bib]
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith
ACL 2011
[paper]
[slides]
[data and software]
[press]
[bib]
2010
Learning Structured Classifiers with Dual Coordinate Ascent
André F. T. Martins, Kevin Gimpel, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, and Mário A. T. Figueiredo
Technical report CMU-ML-10-109
[paper]
[bib]
Distributed Asynchronous Online Learning for Natural Language Processing
Kevin Gimpel, Dipanjan Das, and Noah A. Smith
CoNLL 2010
[paper]
[slides]
[bib]
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
Kevin Gimpel and Noah A. Smith
NAACL 2010
[paper]
[slides]
[bib]
Extended technical report version:
Softmax-Margin Training for Structured Log-Linear Models
Kevin Gimpel and Noah A. Smith
CMU-LTI-10-008
[paper] [bib]
Movie Reviews and Revenues: An Experiment in Text Regression
Mahesh Joshi, Dipanjan Das, Kevin Gimpel, and Noah A. Smith
NAACL 2010
[paper]
[data]
[poster]
[bib]
2009
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
Kevin Gimpel and Noah A. Smith
EMNLP 2009
[paper]
[slides]
[bib]
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings
Kevin Gimpel and Noah A. Smith
EACL 2009
[paper]
[slides]
[bib]
2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel, and Noah A. Smith
NIPS 21
[paper]
[code]
[bib]
Rich Source-Side Context for Statistical Machine Translation
Kevin Gimpel and Noah A. Smith
WMT 2008
[paper]
[code for significance testing]
[bib]
Other Papers/Presentations (unpublished):
Beating the NFL Football Point Spread.
Course project report for Machine Learning, 2006.
If you're interested in the data I used, check out my brother's company.
Notes on graphical models
Junction Tree Algorithms for Inference in Dynamic Bayesian Networks
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