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This paper presents our method to retrieve relevant queries given a new question in the context of Discovery Challenge: Learning to Re-Ranking Questions for Community Question Answering competition.
A desicion-theoretic generalization of on-line learning and an application to boosting
Freund Yoav and Robert E. Schapire · 1995
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An efficient boosting algorithm for combining preferences
Yoav Freund, Raj D. Lyer, Robert E. Schapire, and Yoram Singer · 1998
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Random forests
Leo Breiman · 2001
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An efficient boosting algorithm for combining preferences
Yoav Freund, Raj D. Lyer, Robert E. Schapire, and Yoram Singer · 2003
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Learning to rank using gradient descent
Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Gregory N. Hullender · 2005
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A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
Xiangji Huang and Qinmin Hu · 2009
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Learning to rank for content-based image retrieval
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Learning to Rank for Information Retrieval
Tie-Yan Liu · 2011
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Using learning to rank approach for parallel corpora based cross language information retrieval
Hosein Azarbonyad, Azadeh Shakery, and Heshaam Faili · 2012
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Utilizing microblogs for automatic news highlights extraction
Zhongyu Wei and Wei Gao · 2014
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Solscsum: A linked sentence-comment dataset for social context summarization
Minh-Tien Nguyen, Chien-Xuan Tran, Duc-Vu Tran, and Minh-Le Nguyen · 2016
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