Temporal summaries of new topics
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Web page summarization using dynamic content
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Temporal multi-page summarization
Web Intelligence and Agent Systems
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Detect and track latent factors with online nonnegative matrix factorization
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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In order to produce summaries from dynamic content, we address the definition of the dynamic summarization. In this paper, the issue of modeling of dynamic summarization is discussed, and then two solutions of model improvement with set theory and algorithm improvement with reranking are proposed for dynamic summarization from classic summarization. Finally, the performances of these two solutions are evaluated on the dataset of DUC 2007. Our results demonstrate that the model improvement solution is more effective, but as another stride towards summarization, dynamic summarization research still need further study.