Phrase-representation Summarization Method and Its Evaluation

نویسندگان

  • Mamiko Oka
  • Yoshihiro Ueda
چکیده

We have developed a summarization method that creates a summary suitable for the process of sifting information retrieval results. Unlike conventional methods that extract important sentences, this method constructs short phrases to reduce the burden of reading long sentences. We developed an improved task-based evaluation method and applied to prove the effectiveness of phrase-represented summary. In the task-based evaluation in TSC, phrase-represented summary provided the fastest judgement among systems that achieved almost the same accuracy. However, the experiment method has some problems, and we must try to design tasks closer to the real world IR in the future TSC.

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تاریخ انتشار 2001