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EMNLP
2009
15 years 4 months ago
Polynomial to Linear: Efficient Classification with Conjunctive Features
This paper proposes a method that speeds up a classifier trained with many conjunctive features: combinations of (primitive) features. The key idea is to precompute as partial res...
Naoki Yoshinaga, Masaru Kitsuregawa
COLING
2010
15 years 1 months ago
Kernel Slicing: Scalable Online Training with Conjunctive Features
This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
Naoki Yoshinaga, Masaru Kitsuregawa
COLING
2010
15 years 1 months ago
Effective Constituent Projection across Languages
We describe an effective constituent projection strategy, where constituent projection is performed on the basis of dependency projection. Especially, a novel measurement is propo...
Wenbin Jiang, Yajuan Lv, Yang Liu, Qun Liu
EMNLP
2011
14 years 6 months ago
Dual Decomposition with Many Overlapping Components
Dual decomposition has been recently proposed as a way of combining complementary models, with a boost in predictive power. However, in cases where lightweight decompositions are ...
André L. Martins, Noah A. Smith, Már...
EMNLP
2011
14 years 6 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...