Semi-supervised learning for natural language (2005)

by Percy Liang
Venue:MASTER’S THESIS, MIT
Citations:10 - 0 self

Active Bibliography

Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
2 Discriminative Methods for Label Sequence Learning – Yasemin Altun - 2005
20 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
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
60 Ranking Algorithms for Named-Entity Extraction: Boosting and the Voted Perceptron – Michael Collins, Florham Park - 2002
18 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
45 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
12 Filtering-ranking perceptron learning for partial parsing – A. Xavier Carreras, B. Lluís Màrquez, C. Jorge Castro - 2005
1 Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron ∗ – Andrew Carlson, Scott Gaffney, Flavian Vasile
2 Experimental Comparison of Discriminative Learning Approaches for Chinese Word Segmentation – Dong Song, B. Sc, Dong Song
41 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
33 Active Learning with Multiple Views – Ion Alexandru Muslea - 2002
19 Semi-supervised regression with co-training style algorithms – Zhi-hua Zhou, Ming Li - 2007
3 An introduction to structured discriminative learning – Roland Memisevic - 2006
2 New Theoretical Frameworks for Machine Learning – Maria-florina Balcan, Manuel Blum, Yishay Mansour, Tom Mitchell, Santosh Vempala - 2007
7 Multiview discriminative sequential learning – Ulf Brefeld, Tobias Scheffer - 2005
3 Multi-View Hidden Markov Perceptrons – Ulf Brefeld, Christoph Büscher, Tobias Scheffer