2006/07/10 Igor will present his work in preparation for ACL 2006. Meeting will be held from 1:30-2:30 in 32G-451. 2005/06/23 Terry will present A High-Performance Semi-Supervised Learning Method for Text Chunking by Ando and Zhang. 2006/06/16 Pawan will be presenting the first half of Chapter 3 of "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani. Reading materials are available at Ben\'s desk. 2006/06/01 Ben will be presenting the remainder of Chapter 2 of "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani. Reading materials are available at Ben\'s desk. 2006/05/25 Jacob will be presenting Chapter 2 of "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani. Reading materials are available at Ben\'s desk. 2006/05/19 Ben will be presenting the remainder of Chapter 1 of "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani. Reading materials are available at Ben\'s desk. 2006/05/11 Ben will be presenting the appendix and Chapter 1 of "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani. Reading materials are available at Ben\'s desk. 2006/05/04 We will be attending the talk by Carl de Marcken on NLP technology in air travel planning or 101 operations on parse charts or Using a speech recognizer to plan your vacation without talking. The talk will be held in the 4th floor Gates lounge. Background material was sent out by email. 2006/04/27 We will be attending the Dertouzos Distinguished Lecture series talk entitled New Architectures for a New Biology by Dr. David E. Shaw, Columbia University in 32-123. 2006/04/20 We will be attending the Yoong Keok will present his work. Please also read Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lot by Ciprian Chelba and Alex Acero. 2006/04/13 Yoong Keok will present Learning from Data of Variable Quality by Koby Crammer, Michael Kearns, Jennifer Wortman. 2006/04/06 We will be attending the Dertouzos Distinguished Lecture series talk entitled Repairing the Damaged Brain with Computation: The Development of a Neural Motor Prosthesis by Professor Michael Black, Brown University in 32-123. 2006/03/30 Pawan will present Combining Labeled and Unlabeled Data with Co-Training by Avrim Blum and Tom Mitchell. 2006/03/23 Jacob will present An Introduction to Conditional Random Fields for Relational Learning by Charles Sutton and Andrew McCallum. 2006/03/16 Philip will present his work. 2006/03/09 Igor will present Max-Margin Parsing by Ben Taskar, Dan Kelin, Michael Collins, Daphne Koller, Christopher Manning. 2006/02/23 Ben will present Flexible Text Segmentation with Structured Multilabel Classification by McDonald, Crammer, Pereira (EMNLP 2005) 2005/12/08 Kevin will present Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales by Pang and Lee; 2005/11/21 Igor will present his research on segmentation on Monday at 1pm (32-G451). No reading required. 2005/11/17 Ben will present A Discriminative Matching Approach to Word Alignment by Dan Klein, Simon Lacoste-Julien, and Ben Taskar. He promises a rigorous treatment, so come prepared. 2005/11/10 Philip will present Incorporating Non-local Information into Information Extraction with Gibbs Sampling by Jenny Rose Finkel, Trond Grenager and Christopher Manning. 2005/10/20 Yoong Keok will present A High-Performance Semi-Supervised Learning Method for Text Chunking by Ando and Zhang. A related paper, which you may wish to consult, is Bootstrapping Without the Boot by Eisner and Karakos (EMNLP 2005). 2005/10/11 Ben will present Contrastive Estimation: Training Log-Linear Models on Unlabeled Data by Smith and Eisner. 2005/09/29 Yoong Keok and Kevin will discuss one of their research problems (learning a global partitioning function for coreference resolution) and some related papers (Learning Spectral Clustering by Bach and Jordan; Regularized spectral learning UW-Stat Dept TR # 465 by Meila, Shortreed, and Xu; and Pairwise Clustering and Graphical Models by Shental, Hertz, Zomet, and Weiss). 2005/09/22 Kevin will present Learning to Map sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars by Zettlemoyer and Collins 2005/09/15 Igor will present Hidden-Variable Models for Discriminative Reranking by Koo and Collins. Much fruitful discussion will ensue. 2005/09/08 Preliminary meeting to discuss future reading-group meetings.