Minimum Cut Model for Spoken Lecture Segmentation

@inproceedings{Malioutov2006MinimumCM,
  title={Minimum Cut Model for Spoken Lecture Segmentation},
  author={Igor Malioutov and Regina Barzilay},
  booktitle={ACL},
  year={2006}
}
We introduce a novel unsupervised algorithm for text segmentation. We re-conceptualize text segmentation as a graph-partitioning task aiming to optimize the normalized-cut criterion. Central to this framework is a contrastive analysis of lexical distribution that simultaneously optimizes the total similarity within each segment and dissimilarity across segments. Our experimental results show that the normalized-cut algorithm obtains performance improvements over the state-of-the-art techniques… CONTINUE READING

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