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