Towards Automatic Construction of News Overview Articles by News Synthesis

Jianmin Zhang, Xiaojun Wan


Abstract
In this paper we investigate a new task of automatically constructing an overview article from a given set of news articles about a news event. We propose a news synthesis approach to address this task based on passage segmentation, ranking, selection and merging. Our proposed approach is compared with several typical multi-document summarization methods on the Wikinews dataset, and achieves the best performance on both automatic evaluation and manual evaluation.
Anthology ID:
D17-1224
Volume:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Martha Palmer, Rebecca Hwa, Sebastian Riedel
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2111–2116
Language:
URL:
https://aclanthology.org/D17-1224
DOI:
10.18653/v1/D17-1224
Bibkey:
Cite (ACL):
Jianmin Zhang and Xiaojun Wan. 2017. Towards Automatic Construction of News Overview Articles by News Synthesis. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2111–2116, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Towards Automatic Construction of News Overview Articles by News Synthesis (Zhang & Wan, EMNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/D17-1224.pdf