Publications

Samuel Brody and Nicholas Diakopoulos, 2011. Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs, in Proceedings of EMNLP 2011
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Samuel Brody and Paul Kantor, 2011. Automatic Assessment of Coverage Quality in Intelligence Reports, in Proceedings of ACL 2011
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Or Biran, Samuel Brody, and Noemie Elhadad, 2011. Putting It Simply: a Context-Aware Approach to Lexical Simplification, in Proceedings of ACL 2011.
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Samuel Brody, 2010. It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment in Proceedings of EMNLP 2010.
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Source code for alignment framework: DepAlign.tar.gz
Samuel Brody & Noemie Elhadad, 2010. Detecting Salient Aspects in Online Reviews of Health Providers in AMIA 2010 Annual Symposium.
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Samuel Brody & Noemie Elhadad, 2010. An Unsupervised Aspect-Sentiment Model for Online Reviews in Proceedings of NAACL-HLT 2010.
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Gold standard for aspect-specific sentiment polarity used in the paper: [gold standard]
Samuel Brody, 2009. Closing the Gap in WSD: Supervised Results with Unsupervised Methods, Ph.D. Thesis, University of Edinburgh.
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Samuel Brody & Mirella Lapata, 2009. Bayesian Word Sense Induction in Proceedings of EACL 2009.
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Samuel Brody & Mirella Lapata, 2008. Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD in Proceedings of COLING 2008.
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Samuel Brody, 2007. Clustering Clauses for High-Level Relation Detection: An Information-theoretic Approach inProceedings of ACL 2007
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Samuel Brody, Roberto Navigli & Mirella Lapata, 2006. Ensemble Methods for Unsupervised WSD in Proceedings of ACL-COLING 2006.
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Samuel Brody, 2005.  Cluster-Based Pattern Recognition in Natural Language Text, M.Sc. Thesis, Hebrew University, Jerusalem.
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Talks

An Unsupervised Aspect-Sentiment Model for Online Reviews
An expanded version of the NAACL presentation, which includes some of the work from the AMIA paper.

Presented at Google NY.
Unsupervised Methods for NLP/WSD
An overview lecture about unsupervised learning methods for natural language processing, using word sense disambiguation as a case study. Includes work presented at COLING '08 and EACL '09.

Presented at the City University of New York NLP group.
Unsupervised Methods for NLP/WSD
A different version of the CUNY talk, with more of a focus on some of the common issues in unsupervised NLP.

Presented at the Human Language Technology Center of Excellence (HLTCOE) at the Johns Hopkins University.

Lectures in "Computational Methods in Biomedical Informatics" Course

Markov Chain Monte Carlo
Gibbs Sampling
Introduction to Information Theory - lecture 1
Introduction to Information Theory - lecture 2
Introduction to Information Theory - lecture 3
Introduction to Classification
Support Vector Machines