A Risk Minimization Framework for Extractive Speech Summarization

In this paper, we formulate extractive summarization as a risk minimization problem and propose a unified probabilistic framework that naturally combines supervised and unsupervised summarization models to inherit their individual merits as well as to overcome their inherent limita

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Shih-Hsiang Lin, Berlin Chen
• Keywords: ACL 2010, Computational Linguistics, Risk Minimization Problem, Unified Probabilistic Framework, Unsupervised Summarization Models