495 search results - page 18 / 99 » Extractive summarization using a latent variable model |
NIPS
2007
15 years 1 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
117
Voted
JCIT
2010
14 years 6 months ago
2010
The two most important tasks in entity information summarization from the Web are named entity recognition and relation extraction. Little work has been done toward an integrated ...
EACL
2006
ACL Anthology
15 years 1 months ago
2006
ACL Anthology
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
ICML
2006
IEEE
16 years 14 days ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
93
Voted
COLING
2010
14 years 6 months ago
2010
Multi-document summarization aims to distill the most important information from a set of documents to generate a compressed summary. Given a sentence graph generated from a set o...