Hideyoshi Kato / 加藤 秀佳

Marubeni corporation IT Solutions Division

Email: khideyoshi2[at]gmail.com

Interests

Natural language processing, Grammatical Error Correction, Stock price forecasting, Multivariate data analysis, Statistical Science, Kendo

Career

• 2023.04 - Current :  Marubeni I-DIGIO Holdings Co., Ltd., Tokyo, Japan.

• 2021.04 - Current :  Marubeni corporation, Tokyo, Japan.

• 2019.08 - 2019.09 : Data scientist(Internship), Daiwa Institute of Research Ltd, Tokyo, Japan.

• 2016.09 - 2016.10 : Marketing(Internship), SHIMADZU EUROPA GmbH, Duisburg, Germany.

• 2015.09 - 2017.03 : Technical Advisor, Doshisha University, Kyoto, Japan.

Education

• 2019.04 - 2021.03 : M.A. (Culture and Information Science), Doshisha University

• 2019.04 - 2021.03 : Data Scientists for Sophisticated Smart Society 4th-generation of DS( Statistical Mathematics ), Osaka University

• 2018.04 - 2019.03 : Undergraduate Scholarship Students(Culture and Information Science), Doshisha University

• 2017.04 - 2017.09 : Study abroad in Japan (Science and Engineering), Waseda University

• 2015.04 - 2019.03 : B.A. (Culture and Information Science), Doshisha University

Publications

See also Google Scholar. 

Journal

1. Hideyoshi Kato, Masaaki Okabe, Michiharu Kitano, Hiroshi Yadohisa. Data Augmentation Using Pretrained Models in Japanese Grammatical Error Correction. Journal of  Transactions of the Japanese Society for Artificial Intelligence , Vol.38 (2023. 7)  [PDF]  [URL]  

Presentation

1. Hideyoshi Kato, Masaaki Okabe, Michiharu Kitano, Hiroshi Yadohisa. Data Augmentation and Evaluation Data Construction in Japanese Grammatical Error Correction. 27th Annual Meeting of the Language Processing Society of Japan(NLP2021) , Online, Mar. 2021.[Slide] [Paper] [URL] (Young Researcher Encouragement Award)

2. Hideyoshi Kato, Masaaki Okabe, Michiharu Kitano, Hiroshi Yadohisa. Performance Improvement in Japanese Grammatical Error Correction Using Pre-trained Models. Japanese Society of Computational Statics The 34th Symposium, Online, Nov. 2020. [URL] [PDF] 

3. Hideyoshi Kato, Masaaki Okabe, Michiharu Kitano, Hiroshi Yadohisa. Towards Japanese Grammatical Error Correction Using Pre-trained Models. Young Researcher Association for NLP Studies(YANS) The 15th Symposium, Online, Sep. 2020. [URL]

4. Hideyoshi Kato, Masaaki Okabe,Jun Tsuchida, Hiroshi Yadohisa. Multivariate regression based on Non-negative Matrix Factorization. Japanese Classification Society Symposium 2019, Kitakyushu International Conference Center, Fukuoka, Japan, Dec. 2019.[slide] [URL]

5. Hideyoshi Kato, Hiroshi Yadohisa. Construction of stock price prediction models and investment models using text data from securities reports. Japanese Society of Computational Statics Seminar for young people2019, Saga Ikkyu, Kyoto, Japan, Sep. 2019. [Slide] [URL]

6. Hirakata Toshiyui, Yashima Hiroshi, Hideyoshi Kato, Ryo Otani, Kuniyoshi Yoshimitsu. Search Aid Method by Expanding Abbreviations in Queries to Improve Click Rates. Web DB forum 2018 DBSJ Data Challenge, Information Processing Society of Japan/DBSJ/EIC/Kogakuin University, Tokyo Institute of Technology University, Tokyo, Japan, Dec. 2017. [URL] ( Corporate Award )

Competition

1. Yuta YoshiTomi, Hina Kimura, Hideyoshi Kato. Investment Strategy with AutoML Focusing on SDG Factors. Bloomberg Investment Contest 2019, Bloomberg L.P, Marunouchi Building, Tokyo, Japan, Nov. 2019. [Slide] [Paper] [URL] ( Second place )

2. Yusuke Echizenya, Yuka Inoue, Hideyoshi Kato, Morioka Koki, Takasawa Ippei, Kazumasa Yoshida. Propose CM placement methods that focus on differences in viewing categories. Data Analysis Competition 2008 Kansai Preliminary Round, Union Council of Management Science Research Divisions, Osaka Prefecture University I-site Namba, Osaka, Japan, Nov. 2019. [URL]

3. Hideyoshi Kato, Yusei, Fujishima, Yuka Inoue. Propose an investment strategy by combining investment indicators and Prophet modules. Bloomberg Investment Contest 2018, Bloomberg L.P, Aug. 2018. [URL] ( Special Report Award )

4. Hideyoshi Kato, Koki Matsuoka, Hiroshi Yadohisa. Propose measures to attract customers by focusing on the morphology of the event. The 3rd Sports Analytics Koshien, Japan Sports Analyst Association(JSAA), National Museum of Emerging Science and Innovation, Tokyo, Japan, Dec. 2017. [URL] ( Final selection )

5. Hideyoshi Kato, Naoya Fujimoto. Identification of geographic segments that need to increase the number of visitors and measures to improve them. Digital Inovators Grand Prix 6(DIG6), Keio Universyit, Tokyo, Japan, Sep. 2017. [Slide] [URL] ( winning a prize )

Awards

• Young Researcher Encouragement Award Rate Top 11/247 , Hideyoshi Kato, Masaaki Okabe, Michiharu Kitano, Hiroshi Yadohisa. Data Augmentation and Evaluation Data Construction in Japanese Grammatical Error Correction. 27th Annual Meeting of the Language Processing Society of Japan(NLP2021), Mar. 2021. [URL] 

• Academic Encouragement Award, Doshisha University, Mar. 2021.

• Academic Encouragement Award, Doshisha University, Mar. 2020.

• Second place Rate Top 2/59, Yuta YoshiTomi, Hina Kimura, Hideyoshi Kato. Investment Strategy with AutoML Focusing on SDG Factors. Bloomberg Investment Contest 2019, Bloomberg L.P, Nov. 2019.   [Slide] [Paper] [URL]

• Academic Encouragement Award, Doshisha University, Mar. 2019.

• Special Report Award Rate Top10/49, Hideyoshi Kato, Yusei, Fujishima, Yuka Inoue. Propose an investment strategy by combining investment indicators and Prophet modules. Bloomberg Investment Contest 2018, Bloomberg L.P, Aug. 2018. [URL]

• winning a prize Rate Top 10, Digital Inovators Grand Prix 6(DIG6), Hideyoshi Kato, Naoya Fujimoto. Identification of geographic segments that need to increase the number of visitors and measures to improve them. Digital Inovators Grand Prix 6(DIG6), Keio University, Sep. 2017. [Slide] [URL]

• Corporate Award, Hirakata Toshiyui, Yashima Hiroshi, Hideyoshi Kato, Ryo Otani, Kuniyoshi Yoshimitsu. Search Aid Method by Expanding Abbreviations in Queries to Improve Click Rates. Web DB forum 2018 DBSJ Data Challenge, Information Processing Society of Japan/DBSJ/EIC/Kogakuin University, Dec. 2017. 

Collaborative research・External Funding

• 2020.01 - 2021.03 : Collaborative research, Daiwa Institute of Research Ltd, Online. [URL]

• 2019.11 - 2020.03 : Collaborative research, Nikkei Research Inc, Online.

• 2019.09 - 2020.06 : Collaborative research, Agoop Corp, Online. [URL]

• 2019.04 - 2020.03 : The Institute of Statistical Mathematics Publicly Invited Joint Usage General Research 2 "Research on Analysis Methods for Complex Multivariate Data" .[URL]

TA

• 2020.10 - 2021.03 : Teaching Assistant for Exercise for Social Survey,  Doshisha University, Kyoto, Japan.

• 2020.04 - 2020.09 : Teaching Assistant for Exercise for Introductory Data Science, Doshisha University, Kyoto, Japan.

• 2020.04 - 2020.09 : Teaching Assistant for Introduction to Data Science, Doshisha University, Kyoto, Japan.

• 2019.10 - 2020.03 : Teaching Assistant for Exercise for Social Survey,  Doshisha University, Kyoto, Japan.

• 2019.10 - 2020.03 : Teaching Assistant for Time Series Analysis,  Doshisha University, Kyoto, Japan.

• 2019.04 - 2019.09 : Teaching Assistant for Exercise for Introductory Data Science, Doshisha University, Kyoto, Japan.

• 2019.04 - 2019.09 : Teaching Assistant for Introduction to Data Science, Doshisha University, Kyoto, Japan. 

Reviewer

• Rで学ぶ統計的データ解析 (データサイエンス入門シリーズ) [URL]

• テキストアナリティクスの基礎と実践 [URL]

Language Skills

• Japanese (Native)

• English (TOEIC 850) 

• Chinese ( 2024.12 HSK 6 grade)

Programming Language

• Python

• R

• SQL