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SIGDIAL
2010
13 years 4 months ago
Discourse indicators for content selection in summarization
We present analyses aimed at eliciting which specific aspects of discourse provide the strongest indication for text importance. In the context of content selection for single doc...
Annie Louis, Aravind K. Joshi, Ani Nenkova
ACL
2006
13 years 8 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
ACL
2009
13 years 4 months ago
Query-Focused Summaries or Query-Biased Summaries?
In the context of the Document Understanding Conferences, the task of Query-Focused Multi-Document Summarization is intended to improve agreement in content among humangenerated m...
Rahul Katragadda, Vasudeva Varma
ICASSP
2008
IEEE
14 years 1 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
SIGIR
2010
ACM
13 years 10 months ago
Many are better than one: improving multi-document summarization via weighted consensus
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
Dingding Wang, Tao Li