Generating market comments referring to external resources

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationINLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages135-139
Number of pages5
ISBN (Electronic)9781948087865
Publication statusPublished - 2018
Externally publishedYes
Event11th International Natural Language Generation Conference, INLG 2018 - Tilburg, Netherlands
Duration: 2018 Nov 52018 Nov 8

Publication series

NameINLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference

Conference

Conference11th International Natural Language Generation Conference, INLG 2018
CountryNetherlands
CityTilburg
Period18/11/518/11/8

ASJC Scopus subject areas

  • Software

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