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IALP
2010
14 years 8 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
16 years 2 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum
WWW
2004
ACM
16 years 2 months ago
Query and content suggestion based on latent interest and topic class
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno
CORR
2000
Springer
78views Education» more  CORR 2000»
15 years 1 months ago
One Sense per Collocation and Genre/Topic Variations
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-graine...
David Martínez, Eneko Agirre
CSDA
2007
92views more  CSDA 2007»
15 years 1 months ago
The Bayes factor for inequality and about equality constrained models
The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
Irene Klugkist, Herbert Hoijtink