Kristina Toutanova
RESEARCHER
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I received an MS in Computer Science from Sofia University and a PhD in Computer Science from Stanford University. My dissertation was on machine learning models for syntactic and semantic analysis (my advisor was Christopher Manning).
I have been a researcher in the Natural Language Processing group at Microsoft Research, Redmond, since 2005.
My research interests focus on modeling the structure of natural language, using machine learning. Most recently, I have been working on machine translation, morphological analysis, and part-of-speech tagging. I have also worked on syntactic parsing, semantic role labeling, and summarization.
Here is my CV.
Publications
2009
- Xiaodong He and Kristina Toutanova, Joint Optimization for Machine Translation System Combination, in In Proceedings of EMNLP, Association for Computational Linguistics, August 2009
- Kristina Toutanova and Colin Cherry, A global model for joint lemmatization and part-of-speech prediction, in Proceedings of ACL, Association for Computational Linguistics, August 2009
- Hoifung Poon, Colin Cherry, and Kristina Toutanova, Unsupervised Morphological Segmentation with Log-Linear Models, in Proceedings of NAACL-HLT, Association for Computational Linguistics, June 2009
2008
- Kristina Toutanova, Hisami Suzuki, and Achim Ruopp, Applying Morphology Generation Models to Machine Translation, in Proceedings of ACL, Association for Computational Linguistics, June 2008
- Kristina Toutanova and Mark Johnson, A Bayesian LDA-based Model for Semi-Supervised Part-of-speech Tagging, in In Proceedings of NIPS, MIT Press, January 2008
- Jia Xu, Jianfeng Gao, Kristina Toutanova, and Hermann Ney, Bayesian semi-supervised Chinese word segmentation for statistical machine translation, in In Proceedings of Coling, 2008
- Kristina Toutanova, Aria Haghighi, and Christopher D. Manning, A global joint model for semantic role labeling, in Computational Linguistics, 2008
2007
- Wen-tau Yih and Kristina Toutanova, Automatic Semantic Role Labeling (Tutorial Handout for AAAI-07), 22 July 2007
- Pi-Chuan Chang and Kristina Toutanova, A Discriminative Syntactic Word Order Model for Machine Translation, Association for Computational Linguistics, June 2007
- Einat Minkov, Kristina Toutanova, and Hisami Suzuki, Generating Complex Morphology for Machine Translation, Association for Computational Linguistics, June 2007
- Kristina Toutanova, Chris Brockett, Michael Gamon, Jagadeesh Jagarlamundi, Hisami Suzuki, and Lucy Vanderwende, The Pythy Summarization System: Microsoft Research at DUC 2007, Association for Computational Linguistics, April 2007
- Kristina Toutanova and Hisami Suzuki, Generating Case Markers in Machine Translation, Association for Computational Linguistics, April 2007
- 鈴木久美 and Kristina Toutanova, Generating Japanese case markers for machine translation (機械翻訳における日本語格助詞の生成), in 言語処理学会第13回全国大会論文集, March 2007
- Jianfeng Gao, Galen Andrew, Mark Johnson, and Kristina Toutanova, A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing, in Annual Meeting of the Association for Computational Linguistics (ACL), Association for Computational Linguistics, 2007
- J. Gao, G. Andrew, M. Johnson, and K. Toutanova, A comparative study of parameter estimation methods for statistical natural language processing, in Proceedings of the 45th Annual Meeting of the Association for Computational Lingustics(ACL), January 2007
2006
- Hisami Suzuki and Kristina Toutanova, Learning to Predict Case Markers in Japanese, Association for Computational Linguistics, July 2006
- Kristina Toutanova, Competitive Generative Models with Structure Learning for NLP Classification Tasks, in In Proceedings of EMNLP, Association for Computational Linguistics, July 2006
- Wen-tau Yih and Kristina Toutanova, Automatic Semantic Role Labeling (Tutorial Handout for HLT-NAACL-06), 4 June 2006
- 鈴木久美 and Kristina Toutanova, Automatic prediction of Japanese case markers (機械学習による日本語格助詞の予測), in 言語処理学会第12回全国大会論文集, March 2006
2005
- Kristina Toutanova, Effective statistical models for syntactic and semantic disambiguation, September 2005
- Kristina Toutanova, Christopher D. Manning, Dan Flickinger, and Stephan Oepen, Stochastic HPSG Parse Selection using the Redwoods Corpus, in Journal of Logic and Computation, 2005
- Aria Haghighi, Kristina Toutanova, and Christopher D. Manning, A Joint Model for Semantic Role Labeling, in In Proceedings of CoNLL, 2005
- Kristina Toutanova, Aria Haghighi, and Christopher D. Manning, Joint learning improves semantic role labeling, in In Proceedings of ACL, 2005
2004
- Kristina Toutanova, Penka Markova, and Christopher D. Manning, The Leaf Projection Path View of Parse Trees: Exploring String Kernels for HPSG Parse Selection, in In Proceedings of EMNLP, 2004
- Kristina Toutanova, Christopher D. Manning, and Andrew Y. Ng, Learning random walk models for inducing word dependency distributions, in In Proceedings of ICML, 2004
