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COLING
2010
9 years 6 months ago
Multi-Document Summarization via the Minimum Dominating Set
Multi-document summarization aims to distill the most important information from a set of documents to generate a compressed summary. Given a sentence graph generated from a set o...
Chao Shen, Tao Li
AIRS
2010
Springer
9 years 9 months ago
Re-ranking Summaries Based on Cross-Document Information Extraction
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...
Heng Ji, Juan Liu, Benoît Favre, Daniel Gill...
CIKM
2010
Springer
9 years 9 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
SIGIR
2010
ACM
9 years 10 months ago
EUSUM: extracting easy-to-understand english summaries for non-native readers
In this paper we investigate a novel and important problem in multi-document summarization, i.e., how to extract an easy-tounderstand English summary for non-native readers. Exist...
Xiaojun Wan, Huiying Li, Jianguo Xiao
IPM
2007
131views more  IPM 2007»
9 years 11 months ago
Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion
In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific informat...
Lucy Vanderwende, Hisami Suzuki, Chris Brockett, A...
IPM
2007
84views more  IPM 2007»
9 years 11 months ago
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization—a “parse-and-trim” approach and a...
David M. Zajic, Bonnie J. Dorr, Jimmy J. Lin, Rich...
SIGIR
2008
ACM
9 years 11 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
SIGIR
2008
ACM
9 years 11 months ago
Latent dirichlet allocation based multi-document summarization
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...
Rachit Arora, Balaraman Ravindran
IJCAI
2007
10 years 1 months ago
Multi-Document Summarization by Maximizing Informative Content-Words
We show that a simple procedure based on maximizing the number of informative content-words can produce some of the best reported results for multi-document summarization. We fir...
Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, His...
ACL
2007
10 years 1 months ago
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
The increasing complexity of summarization systems makes it difficult to analyze exactly which modules make a difference in performance. We carried out a principled comparison be...
Surabhi Gupta, Ani Nenkova, Daniel Jurafsky
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