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Workshop on Semi-supervised Learning for Natural Language Processing

WORKSHOP PROGRAM

Thursday, June 4, 2009

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