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SIGIR
2011
ACM
9 years 5 months ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
ACL
2011
9 years 6 months ago
A Class of Submodular Functions for Document Summarization
We design a class of submodular functions meant for document summarization tasks. These functions each combine two terms, one which encourages the summary to be representative of ...
Hui Lin, Jeff Bilmes
ACL
2011
9 years 6 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
SIGIR
2008
ACM
10 years 2 months ago
Comments-oriented document summarization: understanding documents with readers' feedback
Comments left by readers on Web documents contain valuable information that can be utilized in different information retrieval tasks including document search, visualization, and ...
Meishan Hu, Aixin Sun, Ee-Peng Lim
AAAI
2006
10 years 4 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
ICASSP
2008
IEEE
10 years 9 months ago
A comparative study of probabilistic ranking models for spoken document summarization
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
Shih-Hsiang Lin, Yi-Ting Chen, Hsin-Min Wang, Bin ...
WWW
2009
ACM
11 years 3 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
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