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.
| Original language | English (US) |
|---|---|
| Pages | 340-348 |
| Number of pages | 9 |
| State | Published - 2010 |
| Event | 23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China Duration: Aug 23 2010 → Aug 27 2010 |
Other
| Other | 23rd International Conference on Computational Linguistics, Coling 2010 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 8/23/10 → 8/27/10 |
ASJC Scopus subject areas
- Language and Linguistics
- Computational Theory and Mathematics
- Linguistics and Language