Christopher Manning and Ph.D. Students’ Dissertations

0. Christopher Manning. 1994-12. Ergativity: Argument Structure and Grammatical Relations. Ph.D. Thesis, Stanford University, Department of Linguistics. xiv+282 pp. (Advised by Joan Bresnan.)
http://nlp.stanford.edu/~manning/dissertations/Manning-Christopher-ergativity-1994.pdf

1. Lynn Berry. 1998-06. Alignment and Adjacency in Optimality Theory: Evidence from Warlpiri and Arrernte. Ph.D. Thesis, University of Sydney, Department of Linguistics. vii+300 pp. (Co-advised by Toni Borowsky and Jane Simpson.)
http://nlp.stanford.edu/~manning/dissertations/Berry-Lynn-rutgers-lib-38309.pdf

2. Sepandar Kamvar. 2004-06. Personalized Search in Self-Organizing Data Networks. Ph.D. Thesis, Stanford University, Scientific Computing and Computational Mathematics. xviii+174 pp.
http://nlp.stanford.edu/~manning/dissertations/Kamvar-Sep-phd-thesis.pdf

3. Dan Klein. 2005-03. The Unsupervised Learning of Natural Language Structure. Ph.D. Thesis, Stanford University, Department of Computer Science. xvi+124 pp.
http://nlp.stanford.edu/~manning/dissertations/Klein-Dan-thesis.pdf

4. Kristina Toutanova. 2005-09. Effective Statistical Models for Syntactic and Semantic Disambiguation. Ph.D. Thesis, Stanford University, Department of Computer Science. xvi+170 pp.
http://nlp.stanford.edu/~manning/dissertations/Toutanova-Kristina-thesis.pdf

5. Roger Levy. 2005-09. Probabilistic Models of Word Order and Syntactic Discontinuity. Ph.D. Thesis, Stanford University, Department of Linguistics. xvi+179 pp.
http://nlp.stanford.edu/~manning/dissertations/Levy-Roger-2005-thesis.pdf

6. Bill MacCartney. 2009-06. Natural Language Inference Ph.D. Thesis, Stanford University, Department of Computer Science. xiv+165 pp.
http://nlp.stanford.edu/~manning/dissertations/MacCartney-Bill-nli-diss.pdf

7. Pi-Chuan Chang. 2009-08. Improving Chinese-English Machine Translation through Better Source-side Linguistic Processing Ph.D. Thesis, Stanford University, Department of Computer Science. xv+139 pp.
http://nlp.stanford.edu/~manning/dissertations/Chang-Pichuan-dissertation.pdf

8. Jenny Finkel. 2010-08. Holistic Language Processing: Joint Models of Linguistic Structure. Ph.D. Thesis, Stanford University, Department of Computer Science. xvi+153 pp.
http://nlp.stanford.edu/~manning/dissertations/Finkel-Jenny-thesis-augmented.pdf

9. Daniel Ramage. 2011-12. Studying People, Organization, and the Web with Statistical Text Models. Ph.D. Thesis, Stanford University, Department of Computer Science. xvi+162 pp.
http://nlp.stanford.edu/~manning/dissertations/Ramage-Dan-thesis-final-augmented.pdf

10. Rob Munro. 2012-06. Processing Short Message Communications in Low-Resource Languages. Ph.D. Thesis, Stanford University, Department of Linguistics. xv+207 pp.
http://nlp.stanford.edu/~manning/dissertations/Munro-Rob-thesis-final-augmented.pdf

11. Marie-Catherine de Marneffe. 2012-11. What’s That Supposed to Mean? Modeling the Pragmatic Meaning of Utterances. Ph.D. Thesis, Stanford University, Department of Linguistics. xiv+164 pp.
http://nlp.stanford.edu/~manning/dissertations/deMarneffe-Marie-suthesis-mcdm-resave-augmented.pdf

12. Jason Chia-Chen Chuang. 2013-03. Designing Visual Text Analysis Methods to Support Sensemaking and Modeling. Ph.D. Thesis, Stanford University, Department of Computer Science. xx+176 pp. (Co-advised by Jeffrey Heer.)
http://nlp.stanford.edu/~manning/dissertations/Chuang-Jason-dissertation.pdf

13. Mengqiu Wang. 2014-03. Bilingual and Cross-Lingual Learning of Sequence Models with Bitext. Ph.D. Thesis, Stanford University, Department of Computer Science. xv+149 pp.
http://nlp.stanford.edu/~manning/dissertations/Wang-Mengqiu-phdthesis.pdf

14. Richard Socher. 2014-08. Recursive Deep Learning for Natural Language Processing and Computer Vision. Ph.D. Thesis, Stanford University, Department of Computer Science. xiv+190 pp. (Co-advised by Andrew Ng.)
http://nlp.stanford.edu/~manning/dissertations/Socher-Richard-thesis-augmented.pdf

15. Spence Green. 2014-12. Mixed-Initiative Natural Language Translation. Ph.D. Thesis, Stanford University, Department of Computer Science. xvii+161 pp. (Co-advised by Jeffrey Heer.)
http://nlp.stanford.edu/~manning/dissertations/Green-Spence-thesis-augmented.pdf

16. Sonal Gupta. 2015-06. Distantly Supervised Information Extraction Using Bootstrapped Patterns. Ph.D. Thesis, Stanford University, Department of Computer Science. xvii+153 pp.
http://nlp.stanford.edu/~manning/dissertations/Gupta-Sonal-thesis-augmented.pdf

17. Angel Xuan Chang. 2015-12. Text to 3D Scene Generation. Ph.D. Thesis, Stanford University, Department of Computer Science. xviii+185 pp.
http://nlp.stanford.edu/~manning/dissertations/Chang-Angel-thesis-augmented.pdf

18. Gabor Angeli. 2016-06. Learning Open Domain Knowledge from Text. Ph.D. Thesis, Stanford University, Department of Computer Science. xi+131 pp.
http://nlp.stanford.edu/~manning/dissertations/Angeli-Gabor-thesis-submitted-augmented.pdf

19. Sam Bowman. 2016-07. Modeling Natural Language Semantics in Learned Representations. Ph.D. Thesis, Stanford University, Department of Linguistics. xvi+158 pp. (Co-advised by Chris Potts.)
http://nlp.stanford.edu/~manning/dissertations/Bowman-Sam-thesis-final-2016.pdf

20. Natalia Silveira. 2016-08. Designing Syntactic Representations for NLP: An Empirical Investigation. Ph.D. Thesis, Stanford University, Department of Linguistics. xiv+259 pp.
http://nlp.stanford.edu/~manning/dissertations/Silveira-Natalia-dissertation-augmented.pdf