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%0 Conference Proceedings
%T An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles
%A Zhou, Deyu
%A Xu, Haiyang
%A He, Yulan
%Y Màrquez, Lluís
%Y Callison-Burch, Chris
%Y Su, Jian
%S Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
%D 2015
%8 September
%I Association for Computational Linguistics
%C Lisbon, Portugal
%F zhou-etal-2015-unsupervised
%R 10.18653/v1/D15-1225
%U https://aclanthology.org/D15-1225
%U https://doi.org/10.18653/v1/D15-1225
%P 1943-1948

Markdown (Informal)

[An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles](https://aclanthology.org/D15-1225) (Zhou et al., EMNLP 2015)

• An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles (Zhou et al., EMNLP 2015)

ACL

• Deyu Zhou, Haiyang Xu, and Yulan He. 2015. An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1943–1948, Lisbon, Portugal. Association for Computational Linguistics.