We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.
|Title of host publication
|27th Annual Meeting of the Association for Computational Linguistics, University of Maryland, College Park, Maryland, USA, 20-26 June 1999
|Robert Dale, Kenneth Ward Church
|Association for Computational Linguistics (ACL)
|Number of pages
|Published - 1999