Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Information Retrieval: A Health and Biomedical Perspective
Information Retrieval: A Health and Biomedical Perspective
TableSeer: automatic table metadata extraction and searching in digital libraries
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Blind men and elephants: What do citation summaries tell us about a research article?
Journal of the American Society for Information Science and Technology
Math information retrieval: user requirements and prototype implementation
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
A task-based information retrieval interface to support bioinformatics analysis
Proceedings of the second international symposium on Information interaction in context
Workload analysis for scientific literature digital libraries
International Journal on Digital Libraries - Special Issue on Very Large Digital Libraries
Automatic extraction of citation information in Japanese patent applications
International Journal on Digital Libraries - Special Issue on Very Large Digital Libraries
In-browser summarisation: generating elaborative summaries biased towards the reading context
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Scientific paper summarization using citation summary networks
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
NLPIR4DL '09 Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries
Improving MeSH classification of biomedical articles using citation contexts
Journal of Biomedical Informatics
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Practitioners and researchers need to stay up-to-date with the latest advances in their fields, but the continual growth in the amount of literature available makes this task increasingly difficult. In this article, we describe the Citation-Sensitive In-Browser Summariser (CSIBS), a new research tool to help manage the literature browsing task. The design of CSIBS was based on a user requirements analysis which identified the information needs that biomedical researchers commonly encounter when browsing through academic literature. CSIBS supports researchers in their browsing tasks by presenting both a generic and a tailored preview about a citation at the point at which they encounter it. This information is aimed at helping the reader determine whether or not to invest the time in exploring the cited article further, thus alleviating information overload. Feedback from biomedical researchers indicates that CSIBS facilitates this relevance judgement task, and that the interface and previews are informative and easy to use.