Paper: In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context

ACL ID P08-2033
Title In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

We investigate elaborative summarisation, where the aim is to identify supplementary in- formation that expands upon a key fact. We envisage such summaries being useful when browsing certain kinds of (hyper-)linked doc- ument sets, such as Wikipedia articles or repositories of publications linked by cita- tions. For these collections, an elaborative summary is intended to provide additional in- formation on the linking anchor text. Our con- tribution in this paper focuses on identifying and exploring a real task in which summarisa- tion is situated, realised as an In-Browser tool. We also introduce a neighbourhood scoring heuristic as a means of scoring matches to rel- evant passages of the document. In a prelim- inary evaluation using this method, our sum- marisation system scores above o...