A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues

@inproceedings{Georgescul2008ACS,
  title={A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues},
  author={Maria Georgescul and Alexander Clark and Susan J Armstrong},
  booktitle={IJCNLP},
  year={2008}
}
In this article we address the task of automatic text structuring into linear and nonoverlapping thematic episodes at a coarse level of granularity. In particular, we deal with topic segmentation on multi-party meeting recording transcripts, which pose specific challenges for topic segmentation models. We present a comparative study of two probabilistic mixture models. Based on lexical features, we use these models in parallel in order to generate a low dimensional input representation for… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
5 Citations
13 References
Similar Papers

Similar Papers

Loading similar papers…