Abstractive summarization of line graphs from popular media

Authors:
Charles F. Greenbacker;Peng Wu;Sandra Carberry;Kathleen F. McCoy;Stephanie Elzer
Affiliations:
University of Delaware, Newark, Delaware;University of Delaware, Newark, Delaware;University of Delaware, Newark, Delaware;University of Delaware, Newark, Delaware;Millersville University, Millersville, Pennsylvania
Venue:
WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
Year:
2011

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Abstract

Information graphics (bar charts, line graphs, etc.) in popular media generally have a discourse goal that contributes to achieving the communicative intent of a multimodal document. This paper presents our work on abstractive summarization of line graphs. Our methodology involves hypothesizing the intended message of a line graph and using it as the core of a summary of the graphic. This core is then augmented with salient propositions that elaborate on the intended message.