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IJCAI
2007
13 years 8 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...
AI
2010
Springer
13 years 11 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
EMNLP
2004
13 years 8 months ago
LexPageRank: Prestige in Multi-Document Text Summarization
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Günes Erkan, Dragomir R. Radev
ACL
2003
13 years 8 months ago
Evaluation Challenges in Large-Scale Document Summarization
We present a large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers. To this end we built a corpus consisting of (a) 100 ...
Dragomir R. Radev, Simone Teufel, Horacio Saggion,...
SETN
2004
Springer
14 years 2 days ago
Exploiting Cross-Document Relations for Multi-document Evolving Summarization
This paper presents a methodology for summarization from multiple documents which are about a specic topic. It is based on the specication and identication of the cross-document...
Stergos D. Afantenos, Irene Doura, Eleni Kapellou,...