How Text Segmentation Algorithms Gain from Topic Models

  title={How Text Segmentation Algorithms Gain from Topic Models},
  author={Martin Riedl and Christian Biemann},
This paper introduces a general method to incorporate the LDA Topic Model into text segmentation algorithms. We show that semantic information added by Topic Models significantly improves the performance of two wordbased algorithms, namely TextTiling and C99. Additionally, we introduce the new TopicTiling algorithm that is designed to take better advantage of topic information. We show consistent improvements over word-based methods and achieve state-of-the art performance on a standard dataset… CONTINUE READING
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