文章基本信息

标题：Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
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作者：Ziheng Lin ; Chang Liu ; Hwee Tou Ng 等
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.