Jun 4, Thursday, 2009 8:30–9:00 Coffee Service 9:00–9:10 Opening Remarks 9:10–10:10 Invited Talk by Jason Eisner 10:10–10:30 Coupling Semi-Supervised Learning of Categories and Relations Andrew Carlson, Justin Betteridge, Estevam Rafael Hruschka Junior and Tom M. Mitchell 10:30–11:00 Morning Break 11:00–11:20 Surrogate Learning - From Feature Independence to Semi-Supervised Classification Sriharsha Veeramachaneni and Ravi Kumar Kondadadi 11:25–11:45 Keepin’ It Real: Semi-Supervised Learning with Realistic Tuning Andrew B. Goldberg and Xiaojin Zhu 11:50–12:10 Is Unlabeled Data Suitable for Multiclass SVM-based Web Page Classification? Arkaitz Zubiaga, V´ıctor Fresno and Raquel Mart´ınez 12:15–12:35 A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection Barbara Plank 12:35–2:00 Lunch Break 2:00–2:20 Latent Dirichlet Allocation with Topic-in-Set Knowledge David Andrzejewski and Xiaojin Zhu 2:25–2:45 An Analysis of Bootstrapping for the Recognition of Temporal Expressions Jordi Poveda, Mihai Surdeanu and Jordi Turmo 2:50–3:10 A Simple Semi-supervised Algorithm For Named Entity Recognition Wenhui Liao and Sriharsha Veeramachaneni 3:15–3:35 Can One Language Bootstrap the Other: A Case Study on Event Extraction Zheng Chen and Heng Ji 3:35–4:00 Afternoon Break 4:00–4:20 On Semi-Supervised Learning of Gaussian Mixture Models for Phonetic Classification Jui-Ting Huang and Mark Hasegawa-Johnson 4:25–5:25 Panel Discusstion 5:25–5:40 Workshop Wrap-up |