@inproceedings{riedl-biemann-2012-text,
    title = "How Text Segmentation Algorithms Gain from Topic Models",
    author = "Riedl, Martin  and
      Biemann, Chris",
    editor = "Fosler-Lussier, Eric  and
      Riloff, Ellen  and
      Bangalore, Srinivas",
    booktitle = "Proceedings of the 2012 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2012",
    address = "Montr{\'e}al, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/N12-1064/",
    pages = "553--557"
}Markdown (Informal)
[How Text Segmentation Algorithms Gain from Topic Models](https://preview.aclanthology.org/ingest-emnlp/N12-1064/) (Riedl & Biemann, NAACL 2012)
ACL
- Martin Riedl and Chris Biemann. 2012. How Text Segmentation Algorithms Gain from Topic Models. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 553–557, Montréal, Canada. Association for Computational Linguistics.