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COLING
2010
14 years 5 months ago
Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to Multi-Document Summarization
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. In this field, sentence ranking has hitherto been ...
Xiaoyan Cai, Wenjie Li, Ouyang You, Hong Yan
ICDM
2007
IEEE
182views Data Mining» more  ICDM 2007»
15 years 4 months ago
Co-ranking Authors and Documents in a Heterogeneous Network
The problem of evaluating scientific publications and their authors is important, and as such has attracted increasing attention. Recent graph-theoretic ranking approaches have d...
Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. ...
CIKM
2000
Springer
15 years 2 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
SIGIR
2008
ACM
14 years 10 months ago
Combining document- and paragraph-based entity ranking
We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined app...
Henning Rode, Pavel Serdyukov, Djoerd Hiemstra
SIGIR
2006
ACM
15 years 4 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...