jennifer a. gillenwater

cs grad student

Contact
Levine Hall, Office 514
jengi at cis.upenn.edu

Research Interests: Machine learning and NLP

Advisor: Ben Taskar

Courses TAed
CIS 520 (Fall 2010): Machine Learning
CIS 391/521 (Spring 2010): Artificial Intelligence
CIS 520 (Fall 2009): Machine Learning


Resume
Publications

2010

Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, and Ben Taskar. Posterior Sparsity in Unsupervised Dependency Parsing, Journal of Machine Learning Research (JMLR), (accepted). [Tech Report] [PR Toolkit]

Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, and Ben Taskar. Sparsity in Dependency Grammar Induction, Association for Computational Linguistics (ACL), Sweden, 2010. [Slides] [Poster]

Kuzman Ganchev, João Graça, Jennifer Gillenwater, and Ben Taskar. Posterior Regularization for Structured Latent Variable Models, Journal of Machine Learning Research (JMLR), 2010.


2009

Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, and Ben Taskar. Sparsity in Grammar Induction, Neural Information Processing Systems (NIPS), Vancouver, 2009.

Kuzman Ganchev, Jennifer Gillenwater, and Ben Taskar. Dependency Grammar Induction via Bitext Projection Constraints, Association for Computational Linguistics (ACL), Singapore, 2009.


2008

Jennifer Gillenwater, Gregory Malecha, Cherif Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, and John O'Leary, Synthesizable High Level Hardware Descriptions, Partial Evaluation and Program Manipulation (PEPM), San Francisco, 2008.


2007

Jennifer Gillenwater, Gregory Malecha, Cherif Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, and John O'Leary, Formalizing and Enhancing Verilog, Technology and Talent for the 21st Century (TECHCON), Austin, 2007.

Cherif Andraos, Jennifer Gillenwater, Gregory Malecha, Angela Yun Zhu, Walid Taha, Jim Grundy, and John O'Leary, Synthesizable Verilog, Workshop on Hardware Design and Functional Languages (HFL), Portugal, 2007.

Useful UPenn Links
PRiML (Penn Research in Machine Learning)
Natural Language Processing at Penn
Penn Portal