1. Minimum Cut Model for Spoken Lecture Segmentation

    Minimum Cut Model for Spoken Lecture Segmentation Igor Malioutov Massachusetts Institute of Technology igorm@csail.mit.edu Regina Barzilay Massachusetts Institute of Technology regina@csail.mit.edu Abstract We consider the task of unsupervised lecture segmentation. We formalize segmentation as a graph-partitioning task that optimizes the normalized cut criterion. Our approach moves beyond localized comparisons and takes into account longrange cohesion dependencies. Our results demonstrate tha
    Read Full Article

    Login to comment.

  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Topics Mentioned