Abstract
We present a novel unsupervised query-focused multi-document summarization approach. To this end, we generate a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method. .Theproposed approach is generic and requires no domain knowledge. Using an evaluation over DUC 2005-2007 datasets with several other state-of-The-Art baseline methods, we demonstrate that, our approach is both effective and eficient.
| Original language | English |
|---|---|
| Title of host publication | SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 961-964 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450350228 |
| DOIs | |
| State | Published - 7 Aug 2017 |
| Externally published | Yes |
| Event | 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017 - Tokyo, Shinjuku, Japan Duration: 7 Aug 2017 → 11 Aug 2017 |
Publication series
| Name | SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval |
|---|
Conference
| Conference | 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017 |
|---|---|
| Country/Territory | Japan |
| City | Tokyo, Shinjuku |
| Period | 7/08/17 → 11/08/17 |
Bibliographical note
Publisher Copyright:© 2017 Copyright held by the owner/author(s).