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
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2111–2116
Language:
URL:
https://www.aclweb.org/anthology/D17-1224
DOI:
10.18653/v1/D17-1224
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/D17-1224.pdf