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» Sampling Methods for Unsupervised Learning
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ACL
2001
15 years 4 months ago
Extracting Paraphrases from a Parallel Corpus
While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present ...
Regina Barzilay, Kathleen McKeown
108
Voted
EMNLP
2010
15 years 23 days ago
Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation
We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. W...
Erica Greene, Tugba Bodrumlu, Kevin Knight
106
Voted
COLING
2008
15 years 4 months ago
Sentence Compression as a Step in Summarization or an Alternative Path in Text Shortening
The originality of this work leads in tackling text compression using an unsupervised method, based on a deep linguistic analysis, and without resorting on a learning corpus. This...
Mehdi Yousfi Monod, Violaine Prince
137
Voted
TCBB
2011
14 years 9 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
130
Voted
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 4 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima