495 search results - page 6 / 99 » Extractive summarization using a latent variable model |
NECO
1998
13 years 6 months ago
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
DAGM
2010
Springer
13 years 7 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
IPM
2007
13 years 6 months ago
2007
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a signifi...