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SIGIR
2005
ACM
14 years 1 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
SIGIR
2010
ACM
13 years 11 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
SIGIR
2008
ACM
13 years 7 months ago
Improving biomedical document retrieval using domain knowledge
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
Shuguang Wang, Milos Hauskrecht
AIRS
2004
Springer
14 years 1 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
CIKM
2009
Springer
14 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang