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Whetting the appetite of scientists: producing summaries tailored to the citation context
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International Conference on Digital Libraries archive
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries table of contents
Austin, TX, USA
SESSION: 2 table of contents
Pages 59-68  
Year of Publication: 2009
ISBN:978-1-60558-322-8
Authors
Stephen Wan  ICT Centre, CSIRO, Sydney, Australia
Cécile Paris  ICT Centre, CSIRO, Sydney, Australia
Robert Dale  Centre for Language Technology, Macquarie University, Sydney, Australia
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The amount of scientific material available electronically is forever increasing. This makes reading the published literature, whether to stay up-to-date on a topic or to get up to speed on a new topic, a difficult task. Yet, this is an activity in which all researchers must be engaged on a regular basis. Based on a user requirements analysis, we developed a new research tool, called the Citation-Sensitive In-Browser Summariser (CSIBS), which supports researchers in this browsing task. CSIBS enables readers to obtain information about a citation at the point at which they encounter it. This information is aimed at enabling the reader to determine whether or not to invest the time in exploring the cited article further, thus alleviating information overload. CSIBS builds a summary of the cited document, bringing together meta-data about the document and a citation-sensitive preview that exploits the citation context to retrieve the sentences from the cited document that are relevant at this point. This paper briefly presents our user requirements analysis, then describes the system and, finally, discusses the observations from an initial pilot study. We found that CSIBS facilitates the relevancy judgment task, by increasing the users' self-reported confidence in making such judgements.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Wan and C. Paris. In-browser summarisation: Generating elaborative summaries biased towards the reading context. In The 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Paper, Columbus, Ohio, June 2008.
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Collaborative Colleagues:
Stephen Wan: colleagues
Cécile Paris: colleagues
Robert Dale: colleagues