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IPM
2007
143views more  IPM 2007»
14 years 9 months ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...
AI
2010
Springer
15 years 2 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
ICASSP
2010
IEEE
14 years 9 months ago
Leveraging evaluation metric-related training criteria for speech summarization
Many of the existing machine-learning approaches to speech summarization cast important sentence selection as a two-class classification problem and have shown empirical success f...
Shih-Hsiang Lin, Yu-Mei Chang, Jia-Wen Liu, Berlin...
LREC
2010
170views Education» more  LREC 2010»
14 years 11 months ago
Construction of Text Summarization Corpus for the Credibility of Information on the Web
Recently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the conten...
Masahiro Nakano, Hideyuki Shibuki, Rintaro Miyazak...
CIKM
2007
Springer
15 years 3 months ago
Developing learning strategies for topic-based summarization
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...
Ouyang You, Sujian Li, Wenjie Li