Year: 2004
Type: conference-paper
Abstract: We are presenting the most recent version of MEAD (v. 3.08), a large-scale public-domain summarizer that has been used in a number of applications, including the 2001 JHU summer workshop and the NewsInEssence project (www.newsinessence.com). A version of MEAD finished in first place on task 4 at DUC 2003 and finished in the top three on two other tasks.
Authors: Dragomir Radev, Timothy Allison, Matthew Craig, Stanko Dimitrov, Omer Kareem, Michael Topper, Adam Winkel, Jin Yi
Institution: University of Michigan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: National Science Foundation
OpenAlex ID: W1990812632