INDER : A Flexible Clustering Tool for Summarization

  title={INDER : A Flexible Clustering Tool for Summarization},
  author={Vasileios Hatzivassiloglou and Judith L. Klavans and Melissa L. Holcombe and Regina Barzilay and Min-Yen Kan and Kathleen R. McKeown}
We present a statistical similarity measuring and clustering tool, SIMFINDER, that organizes small pieces of text from one or multiple documents into tight clusters. By placing highly related text units in the same cluster, SIMFINDER enables a subsequent content selection/generation component to reduce each cluster to a single sentence, either by extraction or by reformulation. We report on improvements in the similarity and clustering components of SIMFINDER, including a quantitative… CONTINUE READING
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