Generalized tri-training

Generalized tri-training is a semi-supervised learning algorithm, exploiting both labeled and unlabeled data. The algorithm was implemented in Orange 2.0b for Mac OS X. The code is available here.

Publications

Soegaard, Anders; Rishoej, Christian. 2010. Semi-supervised dependency parsing using generalized tri-training. The 23rd International Conference on Computational Linguistics (COLING). Beijing, China.


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