Generating Market Comments Referring to External Resources

Tatsuya Aoki, Akira Miyazawa, Tatsuya Ishigaki, Keiichi Goshima, Kasumi Aoki, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao


Abstract
Comments on a stock market often include the reason or cause of changes in stock prices, such as “Nikkei turns lower as yen’s rise hits exporters.” Generating such informative sentences requires capturing the relationship between different resources, including a target stock price. In this paper, we propose a model for automatically generating such informative market comments that refer to external resources. We evaluated our model through an automatic metric in terms of BLEU and human evaluation done by an expert in finance. The results show that our model outperforms the existing model both in BLEU scores and human judgment.
Anthology ID:
W18-6515
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
135–139
Language:
URL:
https://aclanthology.org/W18-6515
DOI:
10.18653/v1/W18-6515
Bibkey:
Cite (ACL):
Tatsuya Aoki, Akira Miyazawa, Tatsuya Ishigaki, Keiichi Goshima, Kasumi Aoki, Ichiro Kobayashi, Hiroya Takamura, and Yusuke Miyao. 2018. Generating Market Comments Referring to External Resources. In Proceedings of the 11th International Conference on Natural Language Generation, pages 135–139, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Generating Market Comments Referring to External Resources (Aoki et al., 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-6515.pdf
Code
 aistairc/market-reporter