Abstract
Online communities host growing numbers of discussions amongst large
groups of participants on all manner of topics. This user-generated content
contains millions of statements of opinions and ideas. We propose an abstractive
approach to summarize such argumentative discussions, making key content accessible through ‘point’ extraction, where a point is a verb and its syntactic arguments. Our approach uses both dependency parse information and verb case frames to identify and extract valid points, and generates an abstractive summary that discusses the key points being made in the debate. We performed a human evaluation of our approach using a corpus of online political debates and report significant improvements over a highperforming extractive summarizer.
groups of participants on all manner of topics. This user-generated content
contains millions of statements of opinions and ideas. We propose an abstractive
approach to summarize such argumentative discussions, making key content accessible through ‘point’ extraction, where a point is a verb and its syntactic arguments. Our approach uses both dependency parse information and verb case frames to identify and extract valid points, and generates an abstractive summary that discusses the key points being made in the debate. We performed a human evaluation of our approach using a corpus of online political debates and report significant improvements over a highperforming extractive summarizer.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Third Workshop on Argument Mining (ArgMining2016) |
| Publisher | ACL Anthology |
| Pages | 134-143 |
| Number of pages | 10 |
| ISBN (Electronic) | 978-1-945626-17-3 |
| Publication status | Published - 2016 |
| Event | 3rd Workshop on Argument Mining: ACL 2016 - Berlin, Germany Duration: 12 Aug 2016 → 12 Aug 2016 http://argmining2016.arg.tech/ (3rd Workshop on Argument Mining - ACL 2016) |
Conference
| Conference | 3rd Workshop on Argument Mining |
|---|---|
| Abbreviated title | ArgMining 2016 |
| Country/Territory | Germany |
| City | Berlin |
| Period | 12/08/16 → 12/08/16 |
| Internet address |
|