Sciweavers

311 search results - page 5 / 63
» Learning to rank: from pairwise approach to listwise approac...
Sort
View
SIGIR
2009
ACM
14 years 9 days ago
A ranking approach to keyphrase extraction
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as classification and learning methods for classific...
Xin Jiang, Yunhua Hu, Hang Li
ACMSE
2010
ACM
13 years 25 days ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
COLING
2008
13 years 5 months ago
Modeling Local Coherence: An Entity-Based Approach
This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and ...
Regina Barzilay, Mirella Lapata
CIKM
2009
Springer
14 years 11 days ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
JCST
2008
138views more  JCST 2008»
13 years 5 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003