The Stanford NLP (Natural Language Processing) Group

NLP Reading Group Schedule — Spring 2008
Tuesdays at 1:00-2:30pm, Gates 159

Date	Moderator	Topic / Paper
April 15	Jenny Finkel	Organizational Meeting
April 22	David Hall	Li, Wei and McCallum, Andrew. Pachinko allocation: DAG-structured mixture models of topic correlations ICML 2006. [pdf]
April 29	Daniel Ramage	Andrew McCallum, Chris Pal, Greg Druck, Xuerui Wang. Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification AAAI 2006. [pdf]
May 6	Anna Rafferty	Coarse-to-fine parsing
May 13	Sebastian Pado	Learning on the test data.
May 20	Jenny Finkel	Scalable Models of Real Graphs
May 27	Pichuan Chang	author-topic model (or community topic model)
March 4	Ramesh Nallapati	Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller Max Margin classification of incomplete data. [long version] [short version]
March 11		--== No Meeting ==--
March 18	Pichuan Chang & Michel Galley	TBD MT paper [pdf]

NLP Reading Group Schedule — Winter 2008
Tuesdays at 2:30-4:00pm, Gates ???

Date	Moderator	Topic / Paper
January 15	Jenny Finkel	Organizational Meeting
January 22	Jenny Finkel	Kristina Toutanova and Mark Johnson. A Bayesian LDA-based model for semi-supervised part-of-speech tagging. NIPS 2007. [pdf]
January 29	Anna Rafferty	John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman. Learning Bounds for Domain Adaptation. NIPS 2007 [pdf]
February 5	David Hall	TBD David Blei topic models papers [pdf]
February 12	Nate Chambers	Dan Shen and Mirella Lapata. Using Semantic Roles to Improve Question Answering. [pdf] Michael Kaisser and Bonnie Webber. Question Answering based on Semantic Roles. [pdf]
February 19	Pi-Chuan Chang	Stefan Riezler, Alexander Vasserman, Ioannis Tsochantaridis, Vibhu Mittal and Yi Liu. Statistical Machine Translation for Query Expansion in Answer Retrieval. [pdf]
February 26	Bill MacCartney	Wong and Mooney. Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. ACL 2007. [pdf]
March 4	Jenny Finkel	Pascal Denis and Jason Baldridge. Global, Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming. NAACL 2007. [pdf]
March 11		--== No Meeting ==--
March 18	Pichuan Chang & Michel Galley	TBD MT paper [pdf]

NLP Reading Group Schedule — Spring 2006-2007
Wednesdays at 1:30-3:00pm, Gates 359

Date	Moderator	Topic / Paper
April 18	Jenny Finkel	Organizational Meeting
April 25	Rion Snow	Daniel Gildea and Daniel Jurafsky. Automatic Labeling of Semantic Roles. ACL 2000. [pdf]
May 2	Dan Ramage	McCarthy, D., Koeling, R., Weeds, J. and Carroll, J. Finding predominant word senses in untagged text. ACL 2004. [pdf]
May 9	Bill MacCartney	P. Blackburn and J. Bos. Computational Semantics. Theoria 18 [pdf]
May 16	Nate Chambers	Mann, W. C. and S. A. Thompson. Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. [pdf]
May 23	Pi-Chuan Chang	Jerry R. Hobbs, Mark Stickel, Paul Martin and Douglas Edwards. Interpretation as Abduction. ACL 1988 [pdf]
May 30	Yun-Hsuan Sung	Fei Sha and Lawrence K. Saul. Large margin hidden Markov models for automatic speech recognition. NIPS 2007. [pdf]
June 6	Jenny Finkel	Rie K. Ando and Tong Zhang. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. JMLR 2005. [pdf]

NLP Reading Group Schedule — Winter 2006-2007
Wednesdays at 1:30-3:00pm, Gates 459

Date	Moderator	Topic / Paper
Jan. 24	Jenny Finkel	Organizational Meeting
Jan. 31	Jenny Finkel	John Blitzer, Ryan McDonald, and Fernando Pereira. Domain Adaptation with Structural Correspondence Learning. EMNLP 2006. [pdf]
Feb. 7	Pi-Chuan	David Chiang. A Hierarchical Phrase-Based Model for Statistical Machine Translation. ACl 2005. [pdf]
Feb. 14	Dan Cer	P Liang, A Bouchard-Cote, D Klein, B Taskar. An End-to-End Discriminative Approach to Machine Translation. ACL 2006. [pdf.
Feb. 21	Sharon	Ellison, M. and Kirby, S. Measuring Language Divergence by Intra-lexical Comparison. ACL 2006. [pdf]
Feb. 28	Chris	Slav Petrov, Leon Barrett, Romain Thibaux and Dan Klein. Learning Accurate, Compact, and Interpretable Tree Annotation. ACL 2006. [pdf]
March 7	Bill	S Harabagiu, A Hickl. Methods for Using Textual Entailment in Open-Domain Question Answering. ACL 2006. [pdf]
March 14	Alex	NN Schraudolph. Local Gain Adaptation in Stochastic Gradient Descent. Artificial Neural Nets 1999. [pdf]
March 21	Dan R.	E Gabrilovich, S Markovitch, Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5. ICML 2004 [pdf]

NLP Reading Group Schedule — Autumn 2006
Mondays at 2:00-3:30pm, Gates 459

Date	Moderator	Topic / Paper
Sept. 25	Jenny Finkel	Organizational Meeting
Oct. 2	William Morgan	David J. Hand. Classifier Technology and the Illusion of Progress. Statistical Science, 2006. [pdf] Leo Breiman. Statistical Modeling: The Two Cultures. Statistical Science, 2001. [pdf]
Oct. 9	Surabhi	Hal Daume III and Daniel Marcu. Bayseian Query-Focused Summarization. ACL 2006. [pdf]
Oct. 16	Dan Ramage	Mochihashi and Matsumoto. Context as Filtering. NIPS 2005. [pdf]
Oct. 23	Jenny	Aria Haghighi and Dan Klein. Prototype-driven Learning for Sequence Models. NAACL 2006. [pdf]
Oct. 30	Sebastian	Ioannis Tsochantaridis, et al. Support Vector Machine Learning for Interdependent and Structured Output Spaces. ICML 2004. [pdf]
Nov. 6	Dan Cer	Vishwanathan et al. Accelerated training of CRFs with stochastic gradient methods. ICML 2006. [pdf]
Nov. 13	Jeff	Li and Yang. Loss function analysis for classification methods in text categorization. ICML 2003. [pdf]
Nov. 27	Teg	Galen Andrew. Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation. EMNLP 2006. [pdf]
Dec. 4	Dan Cer	Hal Daume III and Daniel Marcu. Learning as Search Optimization. ICML 2005. [pdf]
Dec. 11	John Hale	Eric Villemonte de la Clergerie. Parsing Mildly Context Sensitive Languages with Thread Automata. Coling 2002. [pdf]

NLP Reading Group Schedule — Winter 2006
Mondays at 4:15-5:45pm, Gates 359

Date	Moderator	Topic / Paper
Jan. 23	Jenny Finkel	Organizational Meeting
Jan. 30	William Morgan	Franz Josef Och. Minimum Error Rate Training for Statistical Machine Translation ACL 2003. [pdf]
Feb. 6	Dan Ramage	M. Narasimhan, N. Jojic, and J. Bilmes. Q-Clustering NIPS 2005. [pdf]
Feb. 13	Chris Manning	S. Reynolds and J. Bilmes. Part-of-Speech Tagging with Virtual Evidence and Negative Training HLT 2005. [pdf]
Feb. 20	Rajat Raina	Structured Prediction Via the Extragradient Method/M3NS
Feb. 27	--	NO MEETING - Good Luck with ACL submissions!
Mar. 6	Bill MacCartney	Rodrigo de Salvo Braz, Eyal Amir, and Dan Roth Lifted First-Order Probabilistic Inference IJCAI 2005 [pdf]
Mar. 13	Teg Grenager	S. Goldwater, T. Griffiths, and M. Johnson Interpolating Between Types and Tokens by Estimating Power-Law Generators NIPS 2005 [pdf]
Mar. 20	Jenny Finkel	Latent Head Models For Parsing

NLP Reading Group Schedule — Fall 2005
Mondays at 10:45pm, Gates 400

Date	Moderator	Topic / Paper
Oct. 3	Jenny Finkel	Organizational Meeting
Oct. 10	Teg	Andrew McCallum, Kedar Bellare and Fernando Pereira. A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. Conference on Uncertainty in AI (UAI), 2005. [pdf]
Oct. 17	Pi-Chuan	Noah A. Smith and Jason Eisner. Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. Proceedings of the Association for Computational Linguistics (ACL 2005), Ann Arbor, Michigan. [pdf]
Oct. 24	Teg	Ryan McDonald, Koby Crammer and Fernando Pereira. Online Large-Margin Training of Dependency Parsers. 43rd Annual Meeting of the Association for Computational Linguistics, 2005. Ann Arbor, Michigan. [pdf][longer version]
Oct. 31	Jenny	Mark A. Paskin. Maximum Entropy Probabilistic Logic. Technical Report UCB/CSD-01-1161, University of California, Berkeley. [pdf]
Nov. 7	Rion	Brian Milch, Bhaskara Marthi, and Stuart Russell. BLOG: Relational Modeling with Unknown Objects. Proc. ICML-04 Workshop on Statistical Relational Learning. [pdf]
Nov. 14	Jenny	B. Taskar, V. Chatalbashev and D. Koller. Learning Associative Markov Networks. Twenty First International Conference on Machine Learning (ICML04), Banff, Canada, July 2004. [ps]
Nov. 21	--	NO MEETING - Happy Thanksgiving!
Nov. 28	Bill	Luke S. Zettlemoyer and Michael Collins. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. In Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence (UAI-05), 2005. [pdf]
Dec. 5	Rajat	Sheila M. Reynolds and Jeff A. Bilmes Part-of-Speech Tagging using Virtual Evidence and Negative Training. Human Language Technology (HLT) Conference/ Conference on Empirical Methods in Natural Language Processing , Vancouver, B.C., Canada. Oct, 2005 [pdf]

NLP Reading Group Schedule — Spring 2005
Fridays at 12:45pm, Gates 400

Date	Moderator	Topic / Paper
Apr. 22	Jenny Finkel	Organizational Meeting
Apr. 29	Jenny Finkel	Relational Markov Networks B. Taskar, P. Abbeel and D. Koller. Discriminative Probabilistic Models for Relational Data. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI02), Edmonton, Canada, August 2002. [pdf] [ps]
May 6	Rion Snow	Inductive Logic Programming Mary Elaine Califf and Raymond J. Mooney Relational Learning of Pattern-Match Rules for Information Extraction Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, FL, pp. 328-334, July 1999. [pdf] -- Fabio Ciravegna. Adaptive Information Extraction from Text by Rule Induction and Generalisation in Proceedings of 17th International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, August 2001. [pdf] -- optional longer versions: Mary Elaine Califf and Raymond J. Mooney Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction Journal of Machine Learning Research, 4, (2003), pp. 177-210. [pdf] -- Fabio Ciravegna. (LP)2, an Adaptive Algorithm for Information Extraction from Web-related Texts in Proceedings of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining, Seattle, August, 2001 [pdf]
May 13	Aria Haghighi	SVMs
May 20	Aria Haghighi	Maximum Margin Markov Networks B. Taskar, C. Guestrin and D. Koller. Max-Margin Markov Networks. Neural Information Processing Systems Conference (NIPS03), Vancouver, Canada, December 2003. [ps]
May 27	Rajat Raina	Latent Dirichlet Allocation David Blei, Andrew Y. Ng, and Michael Jordan. Latent Dirichlet Allocation. In NIPS 14, 2002. [ps] [pdf] -- optional longer version: David Blei, Andrew Y. Ng and Michael Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3:993-1022, 2003. [ps] [pdf]
June 3	Marie-Catherine de Marneffe	Integrating Topics and Syntax T. Griffiths, M. Steyvers, D. Blei, and J. Tenenbaum. Integrating topics and syntax. Advances in Neural Information Processing Systems (NIPS) 17, 2004. [pdf]
June 10	Chris Cox	Rule Learning