I'm a fourth year PhD student in the Computer Science Division at Berkeley. My interests are in Statistical Natural Language Processing and Machine Learning. My advisor is Dan Klein and I'm a member of his NLP group. I was an undergraduate at Stanford University. There, I was a math major and a research assistant in Andew Ng's Machine Learning research group in the Stanford A.I Lab. I was also associated with the NLP group at Stanford run by Christopher Manning.

A current CV.

Awards

• Outstanding Graduate Student Instructor Award, 2009
• Microsoft Research Fellowship 2007-2009
• Best Student Paper Award for Prototype-Driven Learning for Sequence Models, HLT-NAACL, 2006
• Department of Homeland Security Fellowship, 2006
• UC Berkeley Chancellor's Fellowship, 2005

Publications

• Better Word Alignments with Supervised ITG Models: Aria Haghighi, John Blitzer, and Dan Klein
  In proceedings of ACL-IJCNLP 2009, Main Conference


• Exploring Content Models for Multi-Document Summarization: Aria Haghighi and Lucy Vanderwende
  In proceedings of HLT-NAACL 2009, Main Conference


• Learning Bilingual Lexicons from Monolingual Corpora: Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, and Dan Klein
  In proceedings of ACL 2008 , Main Conference


• "Coarse-to-Fine Syntactic Machine Translation using Language Projections"
  Slav Petrov, Aria Haghighi and Dan Klein, EMNLP 2008 (Main Conference)


• Fully Distributed EM for Very Large Datasets: Jason Wolfe, Aria Haghighi and Dan Klein
  In proceedings of ICML 2008



• A Global Joint Model for Semantic Role Labeling (2008): Kristina Toutanova, Aria Haghighi, and Christopher D. Manning
  Computational Linguistics. Special Issue on Semantic Role Labeling



• Unsupervised Coreference Resolution in a Nonparametric Bayesian Model: Aria Haghighi and Dan Klein
  In proceedings of ACL 2007


• Approximate Factoring for A* Search: Aria Haghighi, John DeNero, and Dan Klein
  In proceedings of HTL-NAACL 2007, Main Conference


• A* Search via Approximate Factoring: Aria Haghighi, John DeNero, and Dan Klein
  In proceedings of AAAI-2007


• Prototype-driven Learning for Sequence Models: Aria Haghighi and Dan Klein,
  In proceedings of HTL-NAACL 2006 [Best Student Paper Award]


• Prototype-driven Grammar Induction: Aria Haghighi and Dan Klein,
  In proceedings of COLING-ACL 2006


• Robust Textual Inference via Graph Matching (2005)   Aria D. Haghighi, Andrew Y. Ng, Christopher D. Manning
  Proceedings of Empirical Methods in NLP (EMNLP). 2005.


• Robust Textual Inference Using Diverse Knowledge Sources :   Rajat Raina, Aria Haghighi,
  Christopher Cox, Jenny Finkel, Jeff Michels,   Kristina Toutanova
  Bill MacCartney, Marie-Catherine de Marneffe, Christopher D. Manning, Andrew Y. Ng
  In proceedings of PASCAL Challenge Workshop in Recognizing Textual Entailment 2005
  


• A Joint Model for Semantic Role Labeling (2005)   Aria Haghighi, Kristina Toutanova, Chris Manning
  In Proceedings of CoNLL-2005: Shared Task



• Joint Learning Improves Semantic Role Labeling (2005)   Kristina Toutanova, Aria Haghighi, and Chris Manning,
  Proceedings of the 43rd Annual Meeting of the ACL 2005.

Software

• Prototype Sequence Model Toolkit: Software to train and test prototype sequence models as in Prototype-Driven Learning for Sequence Models