MEAD - A Platform for Multidocument Multilingual Text Summarization
Columbia Academic Commons (Columbia University)2004
Citations Over TimeTop 10% of 2004 papers
Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott F. Drábek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang
Abstract
This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500 organizations. MEAD has been used in a variety of summarization applications ranging from summarization for mobile devices to Web page summarization within a search engine and to novelty detection.
Related Papers
- ROUGE: A Package for Automatic Evaluation of Summaries(2004)
- → Automatic evaluation of summaries using N-gram co-occurrence statistics(2003)1,582 cited
- → New Methods in Automatic Extracting(1969)1,463 cited
- → A trainable document summarizer(1995)1,344 cited