Generating Coherent Summaries with Textual Aspects

Renxian Zhang, Wenjie Li, Dehong Gao

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

3 Citations (Scopus)

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 languageEnglish
Pages1727-1733
Number of pages7
Publication statusPublished - 2012
Event26th AAAI Conference on Artificial Intelligence, AAAI 2012 - Toronto, Canada
Duration: 22 Jul 201226 Jul 2012

Conference

Conference26th AAAI Conference on Artificial Intelligence, AAAI 2012
Country/TerritoryCanada
CityToronto
Period22/07/1226/07/12

ASJC Scopus subject areas

  • Artificial Intelligence

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