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EMNLP
2006
13 years 6 months ago
Context-Dependent Term Relations for Information Retrieval
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related w...
Jing Bai, Jian-Yun Nie, Guihong Cao
SIGIR
2009
ACM
13 years 11 months ago
Two-stage query segmentation for information retrieval
Modeling term dependence has been shown to have a significant positive impact on retrieval. Current models, however, use sequential term dependencies, leading to an increased que...
Michael Bendersky, W. Bruce Croft, David A. Smith
COLT
2005
Springer
13 years 10 months ago
Learning a Hidden Hypergraph
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
Dana Angluin, Jiang Chen
SIGIR
2012
ACM
11 years 7 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
ECIR
2010
Springer
13 years 2 months ago
Query Aspect Based Term Weighting Regularization in Information Retrieval
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
Wei Zheng, Hui Fang