Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
K. Ganesan, C. Zhai, and J. Han. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), page 340--348. Beijing, China, Coling 2010 Organizing Committee, (August 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.
%0 Conference Paper
%1 ganesan-zhai-han:2010:PAPERS
%A Ganesan, Kavita
%A Zhai, ChengXiang
%A Han, Jiawei
%B Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)
%C Beijing, China
%D 2010
%I Coling 2010 Organizing Committee
%K abstractive analysis compression concise graph opinion sentence sentiment sentiment_analysis summaries summarization text
%P 340--348
%T Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
%U http://www.kavita-ganesan.com/opinosis
%X 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.
@inproceedings{ganesan-zhai-han:2010:PAPERS,
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.},
added-at = {2010-10-16T09:49:23.000+0200},
address = {Beijing, China},
author = {Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei},
biburl = {https://www.bibsonomy.org/bibtex/23185926ed1530bdd710cec15301133ee/dollyk},
booktitle = {Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)},
interhash = {0df14dd7df7238df3fade2e5e339e682},
intrahash = {3185926ed1530bdd710cec15301133ee},
keywords = {abstractive analysis compression concise graph opinion sentence sentiment sentiment_analysis summaries summarization text},
month = {August},
pages = {340--348},
publisher = {Coling 2010 Organizing Committee},
timestamp = {2015-06-02T18:39:57.000+0200},
title = {Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions},
url = {http://www.kavita-ganesan.com/opinosis},
year = 2010
}