Rchr
J-GLOBAL ID:201801009576919609   Update date: Apr. 12, 2024

Cheng Fei

Cheng Fei
Affiliation and department:
Job title: Program-Specific Junior Associate Professor/Senior Lecturer
Research field  (1): Intelligent informatics
Research keywords  (4): Information Extraction ,  Numerical Reasoning ,  Temporal Reasoning ,  Morphological Analysis
Research theme for competitive and other funds  (3):
  • 2023 - 2025 Is "2019" Earlier than "2022"? Unsupervised Temporal Representation Learning via Contrastive Learning.
  • 2021 - 2023 Temporal knowledge supervision for pre-training tranfer learning models
  • 2019 - 2021 Exploring Deep Neural Networks for Temporal Information Extraction
Papers (49):
  • Kazumasa Omura, Fei Cheng, Sadao Kurohashi. An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition. Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC 2024). 2024
  • Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi. Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese. Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC 2024). 2024
  • Ming Li, Ariunaa Enkhtur, Fei Cheng, Beverley Anne Yamamoto. Ethical implications of ChatGPT in higher education: A scoping review. Journal of Interdisciplinary Studies in Education (to appear). 2024
  • Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi. GPT-RE: In-context Learning for Relation Extraction using Large Language Models. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). 2023
  • Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto, Fei Cheng. Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review. arXiv preprint. 2023
more...
MISC (4):
  • Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto, Fei Cheng. Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review. The 36th CHER Annual Conference “Higher Education and Science Future(s): Trends, Imaginaries, and Alternatives”. 2024
  • Ming Li, Ariunaa Enkhtur, Fei Cheng, Anne Beverley Yamamoto. ChatGPT in higher education: a scoping review of ethical implications. The 68th Annual Meeting of the Comparative and International Education Society (CIES 2024). 2024
  • 木村 麻友子, KANASHIRO Pereira Lis, 浅原 正幸, CHENG Fei, 越智 綾子, 小林 一郎. 時間的常識理解へ向けた言語モデル構築への取り組み. 2022年度人工知能学会全国大会(第36回). 2022
  • Yada, Shuntaro, Aramaki, Eiji, Tanaka, Ribeka, Cheng, Fei, Kurohashi, Sadao. Medical/Clinical Text Annotation Guidelines. Figshare. 2021
Patents (1):
  • イベント時間情報特定システム
Education (3):
  • 2013 - 2016 NARA Institute of Science and Technology Graduate School of Information Science Doctor of Engineering
  • 2011 - 2013 NARA Institute of Science and Technology Graduate School of Information Science Master of Engineering
  • 2001 - 2005 Donghua University College of Science Bachelor of Science
Professional career (1):
  • Doctor of Engineering (Nara Institute of Science and Technology)
Work history (4):
  • 2019/04 - 2024/02 Kyoto University Graduate School of Informatics Assistant Professor
  • 2016/09 - 2019/03 National Institute of Informatics Research Center for Smart Data Post-doctoral Researcher
  • 2012/04 - 2016/03 Nara Institute of Science and Technology Graduate School of Information Science Research Assistant
  • 2005/07 - 2009/10 Shanghai Jiaoda Withub Information Industrial Co Ltd Engineer
Committee career (1):
  • 2015 - 現在 TALLIP, ACL, NAACL, EMNLP, EACL, AAAI Program Committee Member, Review Committee Member
Awards (2):
  • 2023/03 - The Association for Natural Language Processing Outstanding paper A Reasoning Framework Using Multiple External Tools based on Large Language Models
  • 2021/08 - The 15th International Workshop on Semantic Evaluation Best System Paper Award (Honorable Mention) OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
Association Membership(s) (1):
The Association of Computational LInguistics
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