Semi-supervised learning for natural language (2005)

by Percy Liang
Venue:MASTER’S THESIS, MIT
Citations:18 - 0 self

Active Bibliography

Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
3 Discriminative Methods for Label Sequence Learning – Yasemin Altun - 2005
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
Building Maximum Entropy . . . – Zhang Xinhua
74 Ranking Algorithms for Named-Entity Extraction: Boosting and the Voted Perceptron – Michael Collins, Florham Park - 2002
74 Exploiting dictionaries in named entity extraction: Combining semi-markov extraction processes and data integration method – William W. Cohen, Sunita Sarawagi - 2004
28 Semi-supervised regression with co-training style algorithms – Zhi-hua Zhou, Ming Li - 2007
3 New Theoretical Frameworks for Machine Learning – Maria-florina Balcan, Manuel Blum, Yishay Mansour, Tom Mitchell, Santosh Vempala - 2007
Learning with single view . . . – Minmin Chen - 2013
Acknowledgments.................................... – John Blitzer, John Cunningham, Tao Ju, Robert Pless, Bill Smart, Minmin Chen, Minmin Chen - 2013
27 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
35 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
3 ON SEMI-SUPERVISED KERNEL METHODS – Vikas Sindhwani
447 Semi-Supervised Learning Literature Survey – Xiaojin Zhu - 2006
10 Regularized Adaptation: Theory, Algorithms and Applications – Xiao Li - 2007
2 Combining Labeled and Unlabeled Data in Statistical Natural Language Parsing – Anoop Sarkar, Mike Collins, Adwait Ratnaparkhi, Mark Dras, David Chiang, Dan Bikel, Tom Morton, Anoop Sarkar - 2002
53 Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods – Michael Collins - 2001
Semi-Markov Models for Named Entity Recognition – Sunita Sarawagi, William W. Cohen, Zhenzhen Kou
16 Filtering-ranking perceptron learning for partial parsing – Xavier Carreras, Lluís Màrquez, Jorge Castro - 2004