An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles

Deyu Zhou, Haiyang Xu, Yulan He


Anthology ID:
D15-1225
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1943–1948
Language:
URL:
https://aclanthology.org/D15-1225
DOI:
10.18653/v1/D15-1225
Bibkey:
Cite (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.
Cite (Informal):
An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles (Zhou et al., EMNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/D15-1225.pdf