Abstract
We propose to demonstrate SummIt-a tool for extractive summarization, discovery and analysis. The main goal of SummIt is to provide consumable summaries that are driven by users' information intents. To this end, SummIt discovers and analyzes potential intents that can be used for summarization. Given an intent, SummIt generates a summary based on a novel unsupervised, query-focused, extractive, multi-document summarization approach. Using visualization AIDS, SummIt further allows to analyze a given summary and explore both its narrow and broader context.
| Original language | English |
|---|---|
| Title of host publication | CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management |
| Publisher | Association for Computing Machinery |
| Pages | 2459-2462 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450349185 |
| DOIs | |
| State | Published - 6 Nov 2017 |
| Externally published | Yes |
| Event | 26th ACM International Conference on Information and Knowledge Management, CIKM 2017 - Singapore, Singapore Duration: 6 Nov 2017 → 10 Nov 2017 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|---|
| Volume | Part F131841 |
Conference
| Conference | 26th ACM International Conference on Information and Knowledge Management, CIKM 2017 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 6/11/17 → 10/11/17 |
Bibliographical note
Publisher Copyright:© 2017 ACM. 978-1-4503-4918-5/17/11. $15.00.
