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NLP Reading Group Schedule — Winter 2010
Tuesdays 1:30-3:00pm, Gates 200

Date Moderator Topic / Paper
January 12 Spence Green Organizational Meeting
January 19 Steven Bethard Brown, P., deSouza, P, Mercer, R, Della Pietra, V and Lai, J. Class-based n-gram models of natural language. 1992. Computational Linguistics. [pdf]
January 26 David McClosky and Mihai Surdeanu Collins, M. and Singer, Y. Unsupervised Models for Named Entity Classification. 1999. [pdf]
February 2 Sonal Gupta and Chris Manning Evans, N., & Levinson, S. C. The myth of language universals: Language diversity and its importance for cognitive science. 2009. Behavioral and Brain Sciences, 32(5), 429-492. [pdf]
February 9 Spence Green Evans, N., & Levinson, S. C. The myth of language universals: Language diversity and its importance for cognitive science. 2009. Behavioral and Brain Sciences, 32(5), 429-492. [On cluster: /scr/spenceg/lev2.pdf]
February 16 Val Spitkovsky Daelemans, W. Memory-Based Lexical Acquisition and Processing. 1995. Proc. of the Third International EAMT Workshop on Machine Translation and the Lexicon [pdf]
February 23 Spence Green Fong, S. and Berwick, R. Treebank Parsing and Knowledge of Language: A Cognitive Perspective. 2008. Proc. of the Annual Meeting of the Cognitive Science Society [pdf]
March 2 Nate Chambers Liszkowski, U., Schäfer, M., Carpenter, M., & Tomasello, M. Prelinguistic infants, but not chimpanzees, communicate about absent entities. 2009. Psychological Science, 20(5), 654-660. [pdf]
March 9 Jenny Finkel BBN MUC-7
March 16 Adam Vogel TBD - linguistics paper

NLP Reading Group Schedule — Fall 2009
Wednesdays at 12:00-1:30pm, Gates 200

Date Moderator Topic / Paper
September 30 Spence Green Organizational Meeting
October 7 Ramesh Nallapati G. Druck, B. Settles and A. McCallum. Active Learning by Labeling Features. EMNLP 2009. [pdf]
October 14 David Vickrey P. Liang, M. Jordan and D. Klein. Learning Semantic Correspondences with Less Supervision. ACL 2009. [pdf]
October 21 Jenny Finkel A. Haghighi and D. Klein. Simple Coreference Resolution with Rich Syntactic and Semantic Features. NAACL 2009. [pdf]
October 28 Nate Chambers S. Patwardhan and E. Riloff. A Unified Model of Phrasal and Sentential Evidence for Information Extraction. EMNLP 2009. [pdf]
November 4 Mihai Surdeanu J. Suzuki, H. Isozaki, X. Carreras and M. Collins. An Empirical Study On Semi-Supervised Structured Conditional Models For Dependency Parsing. EMNLP 2009. [pdf]
November 11 Adam Vogel S.R.K. Branavan, H. Chen, L. Zettlemoyer and R. Barzilay. Reinforcement Learning for Mapping Instructions to Actions. ACL 2009. [pdf]
November 18 Spence Green R. Tsarfaty, K. Sima'an, and R. Scha. An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language. EMNLP 2009. [pdf]
November 25 Thanksgiving
December 2 Steven Bethard C. Callison-Burch. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. EMNLP 2009. [pdf]
December 9 Uriel Cohen-Priva J. Nivre. Non-Projective Dependency Parsing in Expected Linear Time. ACL 2009. [pdf]

NLP Reading Group Schedule — Summer 2009
Mondays at 2:30-4:00pm, Gates 400

Date Moderator Topic / Paper
June 15 Jenny Finkel Organizational Meeting
June 22 Dan Ramage C. Wang, B. Thiesson, C. Meek, and D. Blei. Markov Topic Models. AIStats 2009. [pdf]
June 29 Adam Vogel Hoifung Poon, Colin Cherry and Kristina Toutanova . Unsupervised Morphological Segmentation with Log-Linear Models. NAACL 2009. [pdf]
July 6 David Vickrey Hoifung Poon and Pedro Domingos. Unsupervised Semantic Parsing. EMNLP 2009. [pdf]
July 13 Jenny Finkel Andrew Carlson, Justin Betteridge, Estevam Rafael Hruschka Junior and Tom M. Mitchell. Coupling Semi-Supervised Learning of Categories and Relations. [pdf]
July 20 -- No Meeting - Pi-Chuan's defense!!!!!
July 27 Val Spitkovsky D. Roth, K. Small, and I. Titov . Sequential Learning of Classifiers for Structured Prediction Problems. AIStats 2009. [pdf]
August 3 -- No Meeting - ACL/EMNLP
August 10
August 17 Mihai Durdeanu J. Reisinger and M. Pasca. Latent Variable Models of Concept-Attribute Attachment. ACL 2009. [pdf]
August 24 Yun-Hsuan Sung D. Chiang, K. Knight, and W. Wang. 11,001 New Features for Statistical Machine Translation. NAACL 2009. [pdf]
August 31 Val Spitkovsky Y. Albert Park and Roger Levy. Minimal-length linearizations for mildly context-sensitive dependency trees. NAACL 2009. [pdf]
Sept. 7
Sept. 14 Dan Cer Chun-Nam John Yu, Thorsten Joachims. Learning Structural SVMs with Latent Variables. ICML 2009. [pdf]
Sept. 21 Ramesh Nallapati Chen, Branavan, Berzilay and Karger. Global Models of Document Structure using Latent Permutations. NAACL 2009. [pdf]

NLP Reading Group Schedule — Spring 2009
Tuesdays at 12:0-1:30pm, Gates 200

Date Moderator Topic / Paper
March 31 Jenny Finkel Organizational Meeting
April 14 Adam Vogel Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer. A Generative Model for Parsing Natural Language to Meaning Representations EMNLP 2008. [pdf]
April 21 Nate Chambers Finding and Linking Incidents in the News [pdf]
April 28 -- No Meeting - Good Luck with EMNLP Submissions!
May 5 Jenny Finkel The Unreasonable Effectiveness of Data [pdf]
May 12 David Vickrey S. Cohen and N. Smith. Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction NAACL 2009 [pdf]
May 19 Ramesh Nallapati David Mimno, Hanna Wallach and Andrew McCallum. Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors. NIPS Workshop on Analyzing Graphs, 2008, Whistler, BC. [pdf]
May 26 Steven Bethard Amarnag Subramanya, Jeff Bilmes. Soft-Supervised Learning for Text Classification EMNLP 2008 [pdf]
June 2 Mihai Surdeanu Yi Zhang, Jeff Schneider, Artur Dubrawski. Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NIPS 2008 [pdf]
June 9 Jenny Finkel Syntactic Topic Models NIPS 2008 [pdf]

NLP Reading Group Schedule — Winter 2009
Mondays at 2:30-4:00pm, Gates 200

Date Moderator Topic / Paper
Jan 26 Sebastian Pado O. Zaidan, J. Eisner Modelling Annotators: A Generative Approach to Learning from Annotator Rationales. EMNLP 2008. [pdf]
Feb 2 David Hall Kemp, C., & Tenenbaum, J. B. The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692. [pdf]
Feb 9 Marie-Catherine de Marneffe Ritter, Soderland, Downey, and Etzioni It's a Contradiction -- no, it's not: A Case Study using Functional Relations. EMNLP 2008. [pdf]
Feb 16 all ACL abstracts & more
Feb 23 Mihai Surdeanu Mustafa Bilgic and Lise Getoor Effective Label Acquisition for Collective Classification. KDD 2008 [pdf]
Mar 2 Nate Chambers Stanley Kok and Pedro Domingos Extracting Semantic Networks from Text Via Relational Clustering. ECML 2008 [pdf]
Mar 9 Yun-Hsuan Sung Gross, Russakovsky, Do, and Batzoglou Training Conditional Random Fields for Maximum Labelwise Accuracy. NIPS 2006 [pdf]
Mar 16 Val Spitkovsky David Smith and Jason Eisner Dependency Parsing by Belief Propagation. EMNLP 2008 [pdf]

NLP Reading Group Schedule — Autumn 2008
Mondays at 12:30-2:00pm, Gates 359

Date Moderator Topic / Paper
Sept. 29 Jenny Finkel Organizational Meeting
Oct. 6 Jenny Finkel M.D. Escobar and M. West. Bayesian Density Estimation and Inference Using Mixtures. JASA 1995. [pdf]
Oct. 13 Val Spitkovsky Yoav Seginer Fast Unsupervised Incremental Parsing. ACL 2007. [pdf]
Oct. 20 David Hall Kemp, C., & Tenenbaum, J. B. The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692. [pdf]
Oct. 27 -- No Meeting - Have fun at EMNLP!
Nov. 3 Dan Ramage Perci Diaconis The MCMC Revolution [pdf]
Nov. 10 Nate Chambers Stanley Kok and Pedro Domingos Extracting Semantic Networks from Text Via Relational Clustering ECML 2008 [pdf]
Nov. 17 Ramesh Nallapati Mustafa Bilgic and Lise Getoor Effective Label Acquisition for Collective Classificatio KDD 2008 [pdf]
Nov. 24 -- No Meeting - Happy Thanksgiving!
Dec. 1 -- NAACL abstracts
Dec. 8 Sebastian Pado Shane Bergsma, Dekang Lin and Randy Goebel Discriminative Learning of Selectional Preference from Unlabeled Text EMNLP 2008 [pdf]

NLP Reading Group Schedule — Summer 2008
Tuesdays at 12:15-1:45pm, Gates 260

Date Moderator Topic / Paper
June 23 Jenny Finkel Organizational Meeting
July 1 -- No Meeting - Good luck on EMNLP submissions
July 8 Jenny Finkel Benjamin Snyder and Regina Barzilay. Unsupervised Multilingual Learning for Morphological Segmentation. ACL 2008. [pdf]
July 15 Daniel Ramage Branavan, S.R.K., Harr Chen, Jacob Eisenstein and Regina Barzilay. Learning Document-Level Semantic Properties from Free-text Annotations. ACL 2008. [pdf]
July 22 Anna Rafferty Joakim Nivre and Ryan McDonald. Integrating Graph-Based and Transition-Based Dependency Parsers. ACL 2008. [pdf]
July 29 Mengqiu Wang Kuzman Ganchev, Joao Graca and Ben Taskar. Better Alignments = Better Translations? ACL 2008. [pdf]
August 5 Eric Yeh Statistical Machine Translation for Query Expansion in Answer Retrieval
August 12 David Hall Shiqi Zhao; Haifeng Wang; Ting Liu; Sheng Li. Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora. ACL 2008. [pdf]
August 19 Ramesh Nallapati Approximate Inference using conditional entropy decomposition. [pdf]
August 26 Sebastian Pado Shane Bergsma; Dekang Lin; Randy Goebel. Distributional Identification of Non-Referential Pronouns. ACL 2008. [pdf]
September 2 David Hall Jason Wolfe, Aria Haghighi and Dan Klein. Fully Distributed EM for Very Large Datasets. ICML 2008. [pdf]
September 9 Jenny Finkel Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. Bayesian Inference for PCFGs via Markov Cain Monte Carlo. Proceedings of NAACL, 2007. [pdf]
September 16 Pi-chuan Chang Zhu, Xiaojin; Andrew B. Goldberg; Michael Rabbat; Robert Nowak Learning Bigrams from Unigrams [pdf]
September 23 Ramesh Nallapati Accurate max margin training for structured output spaces. [pdf]

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)
June 2 Ramesh Nallapati Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller Max Margin classification of incomplete data. [long version] [short version]

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

 

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