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NAACL
2007
13 years 10 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
NIPS
2004
13 years 10 months ago
Maximal Margin Labeling for Multi-Topic Text Categorization
Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira...
CI
2007
91views more  CI 2007»
13 years 8 months ago
Keyword Extraction Strategy for Item Banks Text Categorization
Atorn Nuntiyagul, Kanlaya Naruedomkul, Nick Cercon...