Evolutionary timeline summarization: a balanced optimization framework via iterative substitution

@article{Yan2011EvolutionaryTS,
  title={Evolutionary timeline summarization: a balanced optimization framework via iterative substitution},
  author={Rui Yan and Xiaojun Wan and Jahna Otterbacher and Liang Kong and Xiaoming Li and Yan Zhang},
  journal={Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval},
  year={2011}
}
  • Rui Yan, Xiaojun Wan, +3 authors Yan Zhang
  • Published 2011
  • Computer Science
  • Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Classic news summarization plays an important role with the exponential document growth on the Web. Many approaches are proposed to generate summaries but seldom simultaneously consider evolutionary characteristics of news plus to traditional summary elements. Therefore, we present a novel framework for the web mining problem named Evolutionary Timeline Summarization (ETS). Given the massive collection of time-stamped web documents related to a general news query, ETS aims to return the… Expand
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