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» Extractive summarization using a latent variable model
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CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 6 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
ACL
2006
15 years 1 months ago
Bayesian Query-Focused Summarization
We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
Hal Daumé III, Daniel Marcu
EMNLP
2010
14 years 9 months ago
Incorporating Content Structure into Text Analysis Applications
In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...
Christina Sauper, Aria Haghighi, Regina Barzilay
ADAC
2010
124views more  ADAC 2010»
14 years 11 months ago
Comparing partitions of two sets of units based on the same variables
Abstract We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis...
Genane Youness, Gilbert Saporta
ICML
2009
IEEE
15 years 6 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...