8 search results - page 1 / 2 » Word Topical Mixture Models for Extractive Spoken Document S... |
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
PRL
2008
13 years 4 months ago
2008
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
ACL
2009
13 years 2 months ago
2009
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...
ICML
2006
IEEE
14 years 5 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...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...