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        <title>How Text Segmentation Algorithms Gain from Topic Models</title>
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            <namePart type="given">Srinivas</namePart>
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%0 Conference Proceedings
%T How Text Segmentation Algorithms Gain from Topic Models
%A Riedl, Martin
%A Biemann, Chris
%Y Fosler-Lussier, Eric
%Y Riloff, Ellen
%Y Bangalore, Srinivas
%S Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2012
%8 June
%I Association for Computational Linguistics
%C Montréal, Canada
%F riedl-biemann-2012-text
%U https://aclanthology.org/N12-1064
%P 553-557

Markdown (Informal)

[How Text Segmentation Algorithms Gain from Topic Models](https://aclanthology.org/N12-1064) (Riedl & Biemann, NAACL 2012)

• How Text Segmentation Algorithms Gain from Topic Models (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.