abstractive summarization

Abstractive Summarization Papers

While much work has been done in the area of extractive summarization, there has been limited study in abstractive summarization as this is much harder to achieve (going by the definition of true abstraction). Existing work in abstractive summarization may not be truly abstractive, and even if it is, it may not be fully automated. This page contains a collection of interesting summarization methods that are non-extractive. 

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions, Ganesan, Kavita A., Zhai ChengXiang, and Han Jiawei , Proceedings of the 23rd International Conference on Computational Linguistics (COLING '10), (2010)

Abstract

We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive summaries of highly redundant opinions. Evaluation results on summarizing user reviews show that Opinosis summaries have better agreement with human summaries compared to the baseline extractive method. The summaries are readable, reasonably well-formed and are informative enough to convey the major opinions.