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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 8 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
ACL
2011
14 years 8 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
ICML
2006
IEEE
16 years 5 months ago
The rate adapting poisson model for information retrieval and object recognition
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
Peter V. Gehler, Alex Holub, Max Welling
CHI
2008
ACM
16 years 4 months ago
Augmented information assimilation: social and algorithmic web aids for the information long tail
To understand how and why individuals make use of emerging information assimilation services on the Web as part of their daily routine, we combined video recordings of online acti...
Brynn Evans, Stuart Card
ICML
2005
IEEE
16 years 5 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si