Content Selection for Real-time Sports News Construction from Commentary Texts

Jin-ge Yao, Jianmin Zhang, Xiaojun Wan, Jianguo Xiao


Abstract
We study the task of constructing sports news report automatically from live commentary and focus on content selection. Rather than receiving every piece of text of a sports match before news construction, as in previous related work, we novelly verify the feasibility of a more challenging but more useful setting to generate news report on the fly by treating live text input as a stream. Specifically, we design various scoring functions to address different requirements of the task. The near submodularity of scoring functions makes it possible to adapt efficient greedy algorithms even in stream data settings. Experiments suggest that our proposed framework can already produce comparable results compared with previous work that relies on a supervised learning-to-rank model with heavy feature engineering.
Anthology ID:
W17-3504
Volume:
Proceedings of the 10th International Conference on Natural Language Generation
Month:
September
Year:
2017
Address:
Santiago de Compostela, Spain
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
31–40
Language:
URL:
https://www.aclweb.org/anthology/W17-3504
DOI:
10.18653/v1/W17-3504
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-3504.pdf