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 |
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Pages | 1727-1733 |
Number of pages | 7 |
Publication status | Published - 2012 |
Event | 26th AAAI Conference on Artificial Intelligence, AAAI 2012 - Toronto, Canada Duration: 22 Jul 2012 → 26 Jul 2012 |
Conference
Conference | 26th AAAI Conference on Artificial Intelligence, AAAI 2012 |
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Country/Territory | Canada |
City | Toronto |
Period | 22/07/12 → 26/07/12 |
ASJC Scopus subject areas
- Artificial Intelligence