495 search results - page 36 / 99 » Extractive summarization using a latent variable model |
EWMF
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
EMNLP
2011
12 years 7 months ago
2011
Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...