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» A Trainable Document Summarizer
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AI
2010
Springer
14 years 9 days 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
ACL
2010
13 years 5 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
EMNLP
2004
13 years 9 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 25 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,...