Sciweavers

EMNLP
2011
12 years 4 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
SIGIR
2008
ACM
13 years 4 months ago
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Zuobing Xu, Ram Akella
SPIRE
2005
Springer
13 years 9 months ago
Deriving TF-IDF as a Fisher Kernel
The Dirichlet compound multinomial (DCM) distribution has recently been shown to be a good model for documents because it captures the phenomenon of word burstiness, unlike standar...
Charles Elkan