Enhanced web document summarization using hyperlinks
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
World wide web site summarization
Web Intelligence and Agent Systems
Developing practical automatic metadata assignment and evaluation tools for internet resources
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Using syntactic information to extract relevant terms for multi-document summarization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Generating and Browsing Multiple Taxonomies Over a Document Collection
Journal of Management Information Systems
Have a say over what you see: evaluating interactive compression techniques
Proceedings of the 14th international conference on Intelligent user interfaces
An automated oil palm literature text summarizer framework
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
KX: A flexible system for keyphrase extraction
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
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DDUAC04This paper describes the Interactive Document Summariser (IDS). IDS provides dynamic control over document summary characteristics, such as length and topic focus, so that changes made by the user are instantly reflected in an on-screen summary. "Summary-in-context views allow users to move flexibly between summaries and their source documents. IDS adopts the technique of sentence extraction, exploiting keyphrases that are automatically extracted from document text as the primary attribute of a sentence extraction algorithm. We report an evaluation of IDS summaries, in which representative end-users of on-line documents identified relevant summary sentences in source documents. IDS summaries were then compared to the recommendations of the users and we report the efficacy of the summaries based on standard precision and recall measures. In addition, using established evaluation metrics we found that IDS summaries were better than baseline summaries based on within-document sentence ordering.