Proceedings of the NAACL HLT 2009 Workshop on Semi-supervised Learning for Natural Language Processing

Chairs
Qin Iris Wang (AT&T)
Kevin Duh (University of Washington)
Dekang Lin (Google Research)

Full proceedings volume (PDF)

pdf	bib	Front matter
pdf	bib	Coupling Semi-Supervised Learning of Categories and Relations Andrew Carlson, Justin Betteridge, Estevam Rafael Hruschka Junior and Tom M. Mitchell	pp. 1–9
pdf	bib	Surrogate Learning - From Feature Independence to Semi-Supervised Classification Sriharsha Veeramachaneni and Ravi Kumar Kondadadi	pp. 10–18
pdf	bib	Keepin’ It Real: Semi-Supervised Learning with Realistic Tuning Andrew B. Goldberg and Xiaojin Zhu	pp. 19–27
pdf	bib	Is Unlabeled Data Suitable for Multiclass SVM-based Web Page Classification? Arkaitz Zubiaga, Víctor Fresno and Raquel Martínez	pp. 28–36
pdf	bib	A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection Barbara Plank	pp. 37–42
pdf	bib	Latent Dirichlet Allocation with Topic-in-Set Knowledge David Andrzejewski and Xiaojin Zhu	pp. 43–48
pdf	bib	An Analysis of Bootstrapping for the Recognition of Temporal Expressions Jordi Poveda, Mihai Surdeanu and Jordi Turmo	pp. 49–57
pdf	bib	A Simple Semi-supervised Algorithm For Named Entity Recognition Wenhui Liao and Sriharsha Veeramachaneni	pp. 58–65
pdf	bib	Can One Language Bootstrap the Other: A Case Study on Event Extraction Zheng Chen and Heng Ji	pp. 66–74
pdf	bib	On Semi-Supervised Learning of Gaussian Mixture Models for Phonetic Classification Jui-Ting Huang and Mark Hasegawa-Johnson	pp. 75–83
pdf	bib	Discriminative Models for Semi-Supervised Natural Language Learning Sajib Dasgupta and Vincent Ng	pp. 84–85

Last modified on May 15, 2009, 9:34 a.m.