Michel Galley
RESEARCHER
.
I am a Researcher at Microsoft Research Redmond, and my main research interests are in text-to-text natural language processing (NLP) applications, in particular Statistical Machine Translation and Summarization. Prior to joining Microsoft, I was a Research Associate in the CS department at Stanford University, working with Christopher Manning and Dan Jurafsky. I was a member of the Stanford Natural Language Processing Group, which is part of the Stanford Artificial Intelligence Laboratory (SAIL). In September 2007, I completed my Ph.D. at Columbia University, where I worked on speech summarization and text-to-text generation with Kathleen McKeown. During my graduate school years, I have also done work on syntactic machine translation with Kevin Knight and Daniel Marcu at USC/ISI and SDL Language Weaver. Before graduate school, I was a research consultant in the Spoken Dialogue Systems group at Bell Labs, Murray Hill. Here is my (outdated) CV.
Publications
- Michel Galley and Chris Quirk, Optimal Search for Minimum Error Rate Training, in Proc. of Empirical Methods in Natural Language Processing, July 2011
- Kristina Toutanova and Michel Galley, Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity, in Proc. of the Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, June 2011
- Daniel Cer, Michel Galley, Daniel Jurafsky, and Christopher D. Manning, Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features, in Proceedings of the NAACL HLT 2010 Demonstration Session, Association for Computational Linguistics, Los Angeles, California, June 2010
- Spence Green, Michel Galley, and Christopher D. Manning, Improved Models of Distortion Cost for Statistical Machine Translation, in Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Los Angeles, California, June 2010
- Michel Galley and Christopher D. Manning, Accurate Non-Hierarchical Phrase-Based Translation, in Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Los Angeles, California, June 2010
- Sebastian Pado, Michel Galley, Dan Jurafsky, and Christopher D. Manning, Robust Machine Translation Evaluation with Entailment Features, in Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Association for Computational Linguistics, Suntec, Singapore, August 2009
- Michel Galley and Christopher D. Manning, Quadratic-Time Dependency Parsing for Machine Translation, in Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Association for Computational Linguistics, Suntec, Singapore, August 2009
- Sebastian Padó, Michel Galley, Daniel Jurafsky, and Christopher D. Manning, Machine Translation Evaluation with Textual Entailment Features, in Proceedings of the Fourth Workshop on Statistical Machine Translation, Association for Computational Linguistics, Athens, Greece, March 2009
- Sebastian Padó, Daniel Cer, Michel Galley, Daniel Jurafsky, and Christopher D. Manning, Measuring Machine Translation Quality as Semantic Equivalence: A Metric based on Entailment Features, in Machine Translation, vol. 23, no. 2–3, pp. 181–193, 2009
- Bill MacCartney, Michel Galley, and Christopher D. Manning, A Phrase-Based Alignment Model for Natural Language Inference, in Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Honolulu, Hawaii, October 2008
- Michel Galley and Christopher D. Manning, A Simple and Effective Hierarchical Phrase Reordering Model, in Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Honolulu, Hawaii, October 2008
- Pi-Chuan Chang, Michel Galley, and Christopher D. Manning, Optimizing Chinese Word Segmentation for Machine Translation Performance, in Proceedings of the Third Workshop on Statistical Machine Translation, Association for Computational Linguistics, Columbus, Ohio, June 2008
- Michel Galley and Kathleen McKeown, Lexicalized Markov Grammars for Sentence Compression, in Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, Association for Computational Linguistics, Rochester, New York, April 2007
- Michel Galley, Incorporating discourse and syntactic dependencies into probabilistic models for summarization of multiparty speech, Columbia University, New York, NY, USA, 2007
- Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, and Ignacio Thayer, Scalable Inference and Training of Context-Rich Syntactic Translation Models, in Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Sydney, Australia, July 2006
- Michel Galley, A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance, in Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Sydney, Australia, July 2006
- Michel Galley, Automatic summarization of conversational multi-party speech, in AAAI'06: proceedings of the 21st national conference on Artificial intelligence, AAAI Press, 2006
- Kathleen McKeown, Julia Hirschberg, Michel Galley, and Sameer Maskey, From Text Summarization to Speech Summarization, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP–05), Special session on Human Language Technology: Applications and Challenges for Speech Processing., 2005
- Michel Galley, Kathleen McKeown, Julia Hirschberg, and Elizabeth Shriberg, Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies, in Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL–04), Barcelona, Spain, July 2004
- Michel Galley, Mark Hopkins, Kevin Knight, and Daniel Marcu, What's in a translation rule?, in HLT-NAACL 2004: Main Proceedings, Association for Computational Linguistics, Boston, Massachusetts, USA, May 2004
- Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, and Hongyan Jing, Discourse Segmentation of Multi-Party Conversation, in Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL–03), Sapporo, Japan, July 2003
- Michel Galley and Kathleen McKeown, Improving Word Sense Disambiguation in Lexical Chaining, in Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI–03), 2003
- Michel Galley, Eric Fosler-Lussier, and Alexandros Potamianos, Hybrid natural language generation for spoken dialogue systems, in Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01), Aalborg, Denmark, September 2001
