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...
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
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...
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,...
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,...