Conference Proceedings

In situ text summarisation for museum visitors

T Baldwin, P Ye, F Bohnert, I Zukerman

PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation | Published : 2011

Abstract

This paper presents an experiment on in situ summarisation in a museum context. We implement a range of standard summarisation algorithms, and use them to generate summaries for individual exhibit areas in a museum, intended for in situ delivery to a museum visitor on a mobile device. Personalisation is relative to a visitor's preference for summary length, the visitor's relative interest in a given exhibit topic, as well as (optionally) the summary history. We find that the best-performing summarisation strategy is the Centroid algorithm, and that content diversification and customisation of summary length have a significant impact on user ratings of summary quality. © 2011 by Timothy Baldw..

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