@inproceedings{lau-etal-2014-machine,
title = "Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality",
author = "Lau, Jey Han and
Newman, David and
Baldwin, Timothy",
editor = "Wintner, Shuly and
Goldwater, Sharon and
Riezler, Stefan",
booktitle = "Proceedings of the 14th Conference of the {E}uropean Chapter of the Association for Computational Linguistics",
month = apr,
year = "2014",
address = "Gothenburg, Sweden",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E14-1056",
doi = "10.3115/v1/E14-1056",
pages = "530--539",
}
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%0 Conference Proceedings
%T Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
%A Lau, Jey Han
%A Newman, David
%A Baldwin, Timothy
%Y Wintner, Shuly
%Y Goldwater, Sharon
%Y Riezler, Stefan
%S Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
%D 2014
%8 April
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F lau-etal-2014-machine
%R 10.3115/v1/E14-1056
%U https://aclanthology.org/E14-1056
%U https://doi.org/10.3115/v1/E14-1056
%P 530-539
Markdown (Informal)
[Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality](https://aclanthology.org/E14-1056) (Lau et al., EACL 2014)
ACL