A learning-based sampling approach to extractive summarization

  • Authors:
  • Vishal Juneja;Sebastian Germesin;Thomas Kleinbauer

  • Affiliations:
  • German Research Center for Artificial Intelligence, Saarbücken, Germany;German Research Center for Artificial Intelligence, Saarbücken, Germany;German Research Center for Artificial Intelligence, Saarbücken, Germany

  • Venue:
  • HLT-SRWS '10 Proceedings of the NAACL HLT 2010 Student Research Workshop
  • Year:
  • 2010

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Abstract

In this paper we present a novel resampling model for extractive meeting summarization. With resampling based on the output of a baseline classifier, our method outperforms previous research in the field. Further, we compare an existing resampling technique with our model. We report on an extensive series of experiments on a large meeting corpus which leads to classification improvement in weighted precision and f-score.