ESUM: An efficient system for query-specific multi-document summarization

Abstract

In this paper, we address the problem of generating a queryspecific extractive summary in a an efficient manner for a given set of documents. In many of the current solutions, the entire collection of documents is modeled as a single graph which is used for summary generation. Unlike these approaches, in this paper, we model each individual document as a graph and generate a query-specific summary for it. These individual summaries are then intelligently combined to produce the final summary. This approach greatly reduces the computational complexity. © Springer-Verlag Berlin Heidelberg 2009.