Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The Use of Implicit Evidence for Relevance Feedback in Web Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Virtual Tutor: A System for Deploying Digital Libraries in Classrooms
ICADL '02 Proceedings of the 5th International Conference on Asian Digital Libraries: Digital Libraries: People, Knowledge, and Technology
A task-oriented study on the influencing effects of query-biased summarisation in web searching
Information Processing and Management: an International Journal
Gist summaries for visually impaired surfers
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Proceedings of the third symposium on Information interaction in context
Capturing sentence prior for query-based multi-document summarization
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
A novel method for bilingual web page acquisition from search engine web records
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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We present a system that offers a new way of assessing web document relevance and new approach to the web-based evaluation of such a system. Provisionally named WebDocSum, the system is a query-biased web page summariser that aims to provide an alternative to the short, irrelevant abstracts typical of many web search result lists. Based on an initial evaluation the system appears to be more useful in helping users gauge document relevance than the traditional ranked titles/abstracts approach.