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
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 135–139
- Language:
- URL:
- https://aclanthology.org/W18-6515
- DOI:
- 10.18653/v1/W18-6515
- 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., INLG 2018)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W18-6515.pdf
- Code
- aistairc/market-reporter