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» A Trainable Document Summarizer
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SIGIR
2011
ACM
12 years 10 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...
AI
2010
Springer
14 years 10 days ago
Toward a Gold Standard for Extractive Text Summarization
Abstract. Extractive text summarization is the process of selecting relevant sentences from a collection of documents, perhaps only a single document, and arranging such sentences ...
Alistair Kennedy, Stan Szpakowicz
DRR
2003
13 years 9 months ago
Document structure analysis algorithms: a literature survey
Document structure analysis can be regarded as a syntactic analysis problem. The order and containment relations among the physical or logical components of a document page can be...
Song Mao, Azriel Rosenfeld, Tapas Kanungo
NAACL
2004
13 years 9 months ago
Evaluating Content Selection in Summarization: The Pyramid Method
We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...
Ani Nenkova, Rebecca J. Passonneau
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 2 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran