How Text Segmentation Algorithms Gain from Topic Models

Martin Riedl, Chris Biemann


Anthology ID:
N12-1064
Volume:
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2012
Address:
Montréal, Canada
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
553–557
Language:
URL:
https://aclanthology.org/N12-1064
DOI:
Bibkey:
Cite (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.
Cite (Informal):
How Text Segmentation Algorithms Gain from Topic Models (Riedl & Biemann, NAACL 2012)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/N12-1064.pdf