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» A Trainable Document Summarizer
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SIGDIAL
2010
13 years 5 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
PRICAI
2004
Springer
14 years 28 days ago
Coherent Arrangement of Sentences Extracted from Multiple Newspaper Articles
Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make u...
Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka
COLING
2002
13 years 7 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
ACL
2009
13 years 5 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
CIKM
2010
Springer
13 years 5 months ago
Manifold ranking with sink points for update summarization
Update summarization aims to create a summary over a topic-related multi-document dataset based on the assumption that the user has already read a set of earlier documents of the ...
Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng