Add to ORKGWe 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.published or submitted for publicationis peer reviewe
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can ...
Opinions on the web present a wealth of information that can be leveraged in our day to day decision...
People can reach all kinds of information online incuding reviews and comments on products, movies, ...
We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive...
AbstractText Summarization is condensing of text such that, redundant data are removed and important...
This study develops an abstractive text summarization for multi-document inputs using a two-fold gra...
Now, the web pages contain opinions on almost anything, at review sites, forums, discussion groups, ...
As Web 2.0 applications become increasingly popular, more and more people express their opinions on ...
The abundance of opinions on the web has kindled the study of opinion summarization over the last fe...
Abstract—In this paper, we propose a new framework for opinion summarization based on sentence selec...
The present is marked by the influence of the Social Web on societies and people worldwide. In this ...
Opinion summarization summarizes opinion in texts while extractive summarization summarizes texts wi...
The recent success of deep learning techniques for abstractive summarization is predicated on the av...
This paper focuses on structured Web review extraction and opinion summarization. An opinion extract...
With the increase in number of e-commerce sites, one finds it difficult to choose and buy a product....
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can ...
Opinions on the web present a wealth of information that can be leveraged in our day to day decision...
People can reach all kinds of information online incuding reviews and comments on products, movies, ...
We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive...
AbstractText Summarization is condensing of text such that, redundant data are removed and important...
This study develops an abstractive text summarization for multi-document inputs using a two-fold gra...
Now, the web pages contain opinions on almost anything, at review sites, forums, discussion groups, ...
As Web 2.0 applications become increasingly popular, more and more people express their opinions on ...
The abundance of opinions on the web has kindled the study of opinion summarization over the last fe...
Abstract—In this paper, we propose a new framework for opinion summarization based on sentence selec...
The present is marked by the influence of the Social Web on societies and people worldwide. In this ...
Opinion summarization summarizes opinion in texts while extractive summarization summarizes texts wi...
The recent success of deep learning techniques for abstractive summarization is predicated on the av...
This paper focuses on structured Web review extraction and opinion summarization. An opinion extract...
With the increase in number of e-commerce sites, one finds it difficult to choose and buy a product....
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can ...
Opinions on the web present a wealth of information that can be leveraged in our day to day decision...
People can reach all kinds of information online incuding reviews and comments on products, movies, ...