期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2012
卷号：2012
出版社：ACL Anthology
摘要：An ideal summarization system should produce
summaries that have high content coverage
and linguistic quality. Many state-ofthe-
art summarization systems focus on content
coverage by extracting content-dense sentences
from source articles. A current research
focus is to process these sentences so that they
read fluently as a whole. The current AESOP
task encourages research on evaluating
summaries on content, readability, and overall
responsiveness. In this work, we adapt
a machine translation metric to measure content
coverage, apply an enhanced discourse
coherence model to evaluate summary readability,
and combine both in a trained regression
model to evaluate overall responsiveness.
The results show significantly improved performance
over AESOP 2011 submitted metrics.
