Abstract
Initiated by TAC 2010, aspect guided summaries not only address specific user need, but also ameliorate content level coherence by using aspect information. This paper presents a full fledged system composed of three modules: finding sentence level textual aspects, modeling aspect based co herence with an HMM model, and selecting and ordering sentences with aspect information to generate coherent summaries. The evaluation results on the TAC 2011 da tasets show the superiority of aspect guided summaries in terms of both information coverage and textual coherence.
| Original language | English |
|---|---|
| Title of host publication | AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference |
| Pages | 1727-1733 |
| Number of pages | 7 |
| Volume | 2 |
| Publication status | Published - 7 Nov 2012 |
| Event | 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 - Toronto, ON, Canada Duration: 22 Jul 2012 → 26 Jul 2012 |
Conference
| Conference | 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 |
|---|---|
| Country/Territory | Canada |
| City | Toronto, ON |
| Period | 22/07/12 → 26/07/12 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence