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CIKM
2007
Springer
15 years 6 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
ICASSP
2010
IEEE
14 years 12 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...
98
Voted
AAAI
2006
15 years 1 months ago
Comparative Experiments on Sentiment Classification for Online Product Reviews
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
Hang Cui, Vibhu O. Mittal, Mayur Datar
83
Voted
ACL
2008
15 years 1 months ago
A Joint Model of Text and Aspect Ratings for Sentiment Summarization
Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover cor...
Ivan Titov, Ryan T. McDonald
82
Voted
COLING
2010
14 years 6 months ago
Towards a Unified Approach to Simultaneous Single-Document and Multi-Document Summarizations
Single-document summarization and multidocument summarization are very closely related tasks and they have been widely investigated independently. This paper examines the mutual i...
Xiaojun Wan