Basic Information

Professional Memberships

• To Present

  Association for Natural Language Processing (Japan)
• To Present

  ELRA Language Resources Association
• To Present

  International Committee on Computational Linguistics
• To Present

  Association of Computational LInguistics

Academic Degree

• (Nara Institute of Science and Technology)
• (Nara Institute of Science and Technology)

Research History

• From Mar. 2024, To Present

  Kyoto University, Graduate School of Informatics, Program-Specific Senior Lecture/Junior Associate Professor
• From Apr. 2019, To Feb. 2024

  Kyoto University, Graduate School of Informatics, Program-Specific Assistant Professor
• From Sep. 2016, To Mar. 2019

  National Institute of Informatics, Research Center for Smart Data, Post-doctoral Researcher
• From Apr. 2012, To Mar. 2016

  Nara Institute of Science and Technology, Graduate School of Information Science, Research Assistant
• From Jul. 2005, To Oct. 2009

  Shanghai Jiaoda Withub Information Industrial Co Ltd, Engineer

ID,URL

• J-Global ID

  201801009576919609

researchmap URL

• https://researchmap.jp/chengfei

Research

Research Topics, Overview of the research

• Research Topics

  Natural Language Processing, Information Extraction

• Overview of the research

  1. Information extraction, particularly temporal relation extraction, event time prediction 2. cross-lingual word representations 3. Chinese morphological analysis

Research Interests

• Multilingual Representations
• Large Language Models
• Temporal Reasoning
• Numerical Reasoning
• Morphological Analysis
• Information Extraction

Research Areas

• Informatics, Intelligent informatics, Natural Language Processing, Computational Linguistics

Papers

• EmplifAI: a Fine-grained Dataset for Japanese Empathetic Medical Dialogues in 28 Emotion Labels

  Wan Jou She, Lis Pereira, Fei Cheng, Sakiko Yahata, Panote Siriaraya, Eiji Aramaki

  Proceedings of International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025), Dec. 2025, Peer-reviewed

  
• Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering

  Noriki Nishida; Rumana Ferdous Munne; Shanshan Liu; Narumi Tokunaga; Yuki Yamagata; Fei Cheng; Kouji Kozaki; Yuji Matsumoto

  Transactions of the Association for Computational Linguistics (TACL), to appear, 2026, Peer-reviewed

  
• Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training

  Kazuma Kobayashi; Zhen Wan; Fei Cheng; Yuma Tsuta; Xin Zhao; Junfeng Jiang; Jiahao Huang; Zhiyi Huang; Yusuke Oda; Rio Yokota; Yuki Arase; Daisuke Kawahara; Akiko Aizawa; Sadao Kurohashi

  Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Nov. 2025, Peer-reviewed

  
• CAPE: Context-Aware Personality Evaluation Framework for Large Language Models

  Jivnesh Sandhan; Fei Cheng; Tushar Sandhan; Yugo Murawaki

  Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Nov. 2025, Peer-reviewed

  
• Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension

  Sakiko Yahata; Zhen Wan; Fei Cheng; Sadao Kurohashi; Hisahiko Sato; Ryozo Nagai

  Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Nov. 2025, Peer-reviewed

  
• Semantic-Retention Attack for Continual Named Entity Recognition

  Yahan Yu; Zhengdong Yang; Fei Cheng; Chenhui Chu

  IEEE Transactions on Audio, Speech and Language Processing (TASLP), Jun. 2025, Peer-reviewed

  Access this paper :

  
• AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction.

  Peitao Han; Lis Pereira; Fei Cheng; Wan-Jou She; Eiji Aramaki

  NAACL (Student Research Workshop), 2025, Peer-reviewed

  
• SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models.

  Zhen Wan; Chao-Han Huck Yang; Yahan Yu; Jinchuan Tian; Sheng Li; Ke Hu; Zhehuai Chen; Shinji Watanabe; Fei Cheng; Chenhui Chu; Sadao Kurohashi

  Proceedings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Jul. 2025, Peer-reviewed

  
• 7 Points to Tsinghua but 10 Points to 清华? Assessing Large Language Models in Agentic Multilingual National Bias.

  Qianying Liu; Katrina Qiyao Wang; Fei Cheng; Sadao Kurohashi

  Proceedings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Findings Volume, Jul. 2025, Peer-reviewed

  
• What Language Do Non-English-Centric Large Language Models Think in?

  Chengzhi Zhong; Qianying Liu; Fei Cheng; Junfeng Jiang; Zhen Wan; Chenhui Chu; Yugo Murawaki; Sadao Kurohashi

  Proceedings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Findings Volume, Jul. 2025, Peer-reviewed

  
• Cross-Lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition

  Zhengdong Yang; Qianying Liu; Sheng Li; Fei Cheng; Chenhui Chu

  IEEE Transactions on Audio, Speech and Language Processing (TASLP), Oct. 2025, Peer-reviewed

  
• Enhancing In-Context Learning with Semantic Representations for Relation Extraction.

  Peitao Han; Lis Kanashiro Pereira; Fei Cheng 0002; Wan-Jou She; Eiji Aramaki

  CoRR, 2024

  
• Improving Referring Ability for Biomedical Language Models

  Junfeng Jiang; Fei Cheng; Akiko Aizawa

  Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Nov. 2024, Peer-reviewed

  
• Prior Knowledge-Guided Adversarial Training

  Lis Kanashiro Pereira; Fei Cheng; Wan Jou She; Masayuki Asahara; Ichiro Kobayashi

  Proceedings of the Workshop 9th Workshop on Representation Learning for NLP (RepL4NLP 2024) at ACL 2024, 2024

  
• Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review

  Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen

  Open Praxis, 15 Apr. 2025, Peer-reviewed

  
• LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs

  Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng; Hiroyuki Deguchi; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; Tatsuya Hiraoka; Shohei Hisada; Sosuke Hosokawa; Lu Jie; Keisuke Kamata; Teruhito Kanazawa; Hiroki Kanezashi; Hiroshi Kataoka; Satoru Katsumata; Daisuke Kawahara; Seiya Kawano; Atsushi Keyaki; Keisuke Kiryu; Hirokazu Kiyomaru; Takashi Kodama; Takahiro Kubo; Yohei Kuga; Ryoma Kumon; Shuhei Kurita; Sadao Kurohashi; Conglong Li; Taiki Maekawa; Hiroshi Matsuda; Yusuke Miyao; Kentaro Mizuki; Sakae Mizuki; Yugo Murawaki; Ryo Nakamura; Taishi Nakamura; Kouta Nakayama; Tomoka Nakazato; Takuro Niitsuma; Jiro Nishitoba; Yusuke Oda; Hayato Ogawa; Takumi Okamoto; Naoaki Okazaki; Yohei Oseki; Shintaro Ozaki; Koki Ryu; Rafal Rzepka; Keisuke Sakaguchi; Shota Sasaki; Satoshi Sekine; Kohei Suda; Saku Sugawara; Issa Sugiura; Hiroaki Sugiyama; Hisami Suzuki; Jun Suzuki; Toyotaro Suzumura; Kensuke Tachibana; Yu Takagi; Kyosuke Takami; Koichi Takeda; Masashi Takeshita; Masahiro Tanaka; Kenjiro Taura; Arseny Tolmachev; Nobuhiro Ueda; Zhen Wan; Shuntaro Yada; Sakiko Yahata; Yuya Yamamoto; Yusuke Yamauchi; Hitomi Yanaka; Rio Yokota; Koichiro Yoshino

  arXiv preprint, Jul. 2024

  
• Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain

  Zhen Wan; Yating Zhang; Yexiang Wang; Fei Cheng; Sadao Kurohashi

  Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Aug. 2024, Peer-reviewed

  
• An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition

  Kazumasa Omura; Fei Cheng; Sadao Kurohashi

  Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC 2024), 20 May 2024, Peer-reviewed

  
• Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese

  Yikun Sun; Zhen Wan; Nobuhiro Ueda; Sakiko Yahata; Fei Cheng; Chenhui Chu; Sadao Kurohashi

  Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC 2024), 20 May 2024, Peer-reviewed

  
• Data-driven patient stratification and drug target discovery by using medical information and serum proteome data of idiopathic pulmonary fibrosis patients

  Yayoi Natsume-Kitatani; Mari N Itoh; Yoshito Takeda; Masataka Kuroda; Haruhiko Hirata; Kohtaro Miyake; Takayuki Shiroyama; Yuya Shirai; Yoshimi Noda; Yuichi Adachi; Takatoshi Enomoto; Saori Amiya; Jun Adachi; Ryohei Narumi; Satoshi Muraoka; Takeshi Tomonaga; Sadao Kurohashi; Fei Cheng; Ribeka Tanaka; Shuntaro Yada; Eiji Aramaki; Shoko Wakamiya; Yi-An Chen; Chihiro Higuchi; Yosui Nojima; Takeshi Fujiwara; Chioko Nagao; Yasushi Matsumura; Kenji Mizuguchi; Atsushi Kumanogoh; Naonori Ueda

  29 Mar. 2022, Peer-reviewed

  
• Ethical implications of ChatGPT in higher education: A scoping review

  Ming Li; Ariunaa Enkhtur; Fei Cheng; Beverley Anne Yamamoto

  Journal of Interdisciplinary Studies in Education, 2024, Peer-reviewed

  
• GPT-RE: In-context Learning for Relation Extraction using Large Language Models

  Zhen Wan; Fei Cheng; Zhuoyuan Mao; Qianying Liu; Haiyue Song; Jiwei Li; Sadao Kurohashi

  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Dec. 2023, Peer-reviewed

  
• Pushing the Limits of ChatGPT on NLP Tasks

  Xiaofei Sun; Linfeng Dong; Xiaoya Li; Zhen Wan; Shuhe Wang; Tianwei Zhang; Jiwei Li; Fei Cheng; Lingjuan Lyu; Fei Wu; Guoyin Wang

  arXiv preprint, 16 Jun. 2023

  
• MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting

  Tatsuro Inaba; Hirokazu Kiyomaru; Fei Cheng; Sadao Kurohashi

  Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Jul. 2023, Peer-reviewed

  
• Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition

  Qianying Liu; Zhuo Gong; Zhengdong Yang; Yuhang Yang; Sheng Li; Chenchen Ding; Nobuaki Minematsu; Hao Huang; Fei Cheng; Chenhui Chu; Sadao Kurohashi

  Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Jun. 2023, Peer-reviewed

  
• Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision

  Zhen Wan; Fei Cheng; Qianying Liu; Zhuoyuan Mao; Haiyue Song; Sadao Kurohashi

  Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). Findings Volume., May 2023, Peer-reviewed

  Access this paper :

  
• ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision

  Qianying Liu; Wenyu Guan; Jianhao Shen; Fei Cheng; Sadao Kurohashi

  Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2023, Peer-reviewed

  Access this paper :

  
• 大規模言語モデルに基づく複数の外部ツールを利用した推論フレームワーク

  Tatsuro Inaba; Hirokazu Kiyomaru; Fei Cheng; Sadao Kurohashi

  The 29th Annual Meeting of the Association for Natural Language Processing 2023, Mar. 2023

  
• Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction

  Zhen Wan; Qianying Liu; Zhuoyuan Mao; Fei Cheng; Sadao Kurohashi; Jiwei Li

  Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Dec. 2022, Peer-reviewed

  
• Textual Enhanced Contrastive Learning for Solving Math Word Problems

  Yibin Shen; Qianying Liu; Zhuoyuan Mao; Fei Cheng; Sadao Kurohashi

  Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Findings Volume, Dec. 2022, Peer-reviewed

  
• Design of versatile annotation guidelines for clinical-medical text: starting from critical lung diseases

  Shuntaro Yada, Ribeka Tanaka, Fei Cheng, Eiji Aramaki and Sadao Kurohashi

  Journal of Natural Language Processing, Dec. 2022, Peer-reviewed

  
• Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems

  Yibin Shen; Qianying Liu; Zhuoyuan Mao; Zhen Wan; Fei Cheng; Sadao Kurohashi

  Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), Online, (2022.11.21), Nov. 2022, Peer-reviewed

  
• 弱教師学習に基づく症例報告の構造的要約

  尾崎 立一; 清丸 寛一; Cheng Fei; 黒橋 禎夫; 佐藤 寿彦; 永井 良三

  第26回日本医療情報学会春季学術大会, Jul. 2022, Peer-reviewed

  
• Attention-Focused Adversarial Training for Robust Temporal Reasoning

  Lis Kanashiro Pereira; Kevin Duh; Fei Cheng; Masayuki Asahara; Ichiro Kobayashi

  Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022), Jun. 2022, Peer-reviewed

  
• Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data

  Felix Giovanni Virgo; Fei Cheng; Sadao Kurohashi

  Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022), Jun. 2022, Peer-reviewed

  
• JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation

  Fei Cheng; Shuntaro Yada; Ribeka Tanaka; Eiji ARAMAKI; Sadao Kurohashi

  Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022), Jun. 2022, Peer-reviewed, Lead author

  
• Improving Medical Relation Extraction with Distantly Supervised Pre-training

  Zhen Wan; Fei Cheng; Zhuoyuan Mao; Qianying Liu; Haiyue Song; Sadao Kurohashi

  言語処理学会第28回年次大会, Mar. 2022

  
• 時間的常識理解へ向けた効果的なマスク言語モデルの検証

  木村 麻友子; Lis Kanashiro Pereira; 浅原 正幸; Fei Cheng; 越智 綾子; 小林 一郎

  言語処理学会第28回年次大会, Mar. 2022

  
• RODA: Reverse Operation based Data Augmentation for Solving Math Word Problems

  Qianying Liu; Wenyu Guan; Sujian Li; Fei Cheng; Daisuke Kawahara; Sadao Kurohashi

  IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Nov. 2021, Peer-reviewed

  
• ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning

  Lis Kanashiro Pereira; Fei Cheng; Masayuki Asahara; Ichiro Kobayashi

  The 35th Pacific Asia Conference on Language, Information and Computation (PACLIC35), Nov. 2021, Peer-reviewed

  
• Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification

  Chenjing Geng; Fei Cheng; Masayuki Asahara; Lis Kanashiro Pereira; Ichiro Kobayashi

  The 35th Pacific Asia Conference on Language, Information and Computation (PACLIC35), Nov. 2021, Peer-reviewed

  
• JaMIE: A Pipeline Japanese Medical Information Extraction System.

  Fei Cheng; Shuntaro Yada; Ribeka Tanaka; Eiji Aramaki; Sadao Kurohashi

  CoRR, 2021

  
• OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction

  Yuki Taya; Lis Kanashiro Pereira; Fei Cheng; Ichiro Kobayashi

  Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021, Peer-reviewed

  
• A System for Worldwide COVID-19 Information Aggregation

  Akiko Aizawa; Frederic Bergeron; Junjie Chen; Fei Cheng; Katsuhiko Hayashi; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; Sadao Kurohashi; Qianying Liu; Masaki Matsubara; Yusuke Miyao; Atsuyuki Morishima; Yugo Murawaki; Kazumasa Omura; Haiyue Song; Eiichiro Sumita; Shinji Suzuki; Ribeka Tanaka; Yu Tanaka; Masashi Toyoda; Nobuhiro Ueda; Honai Ueoka; Masao Utiyama; Ying Zhong

  NLP COVID-19 Workshop (Part 2) at the 2020 Conference on Empirical Methods in Natural Language Processing., Nov. 2020, Peer-reviewed

  
• Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

  Haoran Zhang; Qianying Liu; Aysa Xuemo Fan; Heng Ji; Daojian Zeng; Fei Cheng; Daisuke Kawahara; Sadao Kurohashi

  Findings of the 2020 Conference on Empirical Methods in Natural Language Processing, Nov. 2020, Peer-reviewed

  
• Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors

  Fei Cheng; Yusuke Miyao

  arXiv, Jul. 2020

  
• A System for Worldwide COVID-19 Information Aggregation

  Akiko Aizawa; Frederic Bergeron; Junjie Chen; Fei Cheng; Katsuhiko Hayashi; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; Sadao Kurohashi; Qianying Liu; Masaki Matsubara; Yusuke Miyao; Atsuyuki Morishima; Yugo Murawaki; Kazumasa Omura; Haiyue Song; Eiichiro Sumita; Shinji Suzuki; Ribeka Tanaka; Yu Tanaka; Masashi Toyoda; Nobuhiro Ueda; Honai Ueoka; Masao Utiyama; Ying Zhong

  Poster of NLP-COVID19 Workshop at the 58th Annual Meeting of the Association for Computational Linguistics, Jul. 2020

  
• Pre-training via Leveraging Assisting Languages for Neural Machine Translation

  Haiyue Song; Raj Dabre; Zhuoyuan Mao; Fei Cheng; Sadao Kurohashi; Eiichiro Sumita

  Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, Jul. 2020, Peer-reviewed

  
• Adversarial Training for Commonsense Inference

  Lis Pereira; Xiaodong Liu; Fei Cheng; Masayuki Asahara; Ichiro Kobayashi

  Proceedings of the 5th Workshop on Representation Learning for NLP, Jul. 2020, Peer-reviewed

  
• Japanese Temporal Relation Classification with Joint Dependency and Contextual Representations

  Chenjing Geng; Fei Cheng,Lis; Kanashiro Pereira; Masayuki Asahara; Ichiro Kobayashi

  人工知能学会全国大会（第34回）, Jun. 2020

  
• Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases

  Shuntaro Yada; Ayami Joh; Ribeka Tanaka; Fei Cheng; Eiji Aramaki; Sadao Kurohashi

  Proceedings of The 12th Language Resources and Evaluation Conference, May 2020, Peer-reviewed

  
• Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification

  Chenjing Geng; Lis Kanashiro; Pereira; Fei Cheng; Masayuki Asahara; Ichiro Kobayashi

  ⾔語処理学会第26 回年次⼤会, Mar. 2020

  
• Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning

  Fei Cheng; Masayuki Asahara; Ichiro Kobayashi; Sadao Kurohashi

  Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Peer-reviewed, Lead author

  
• Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation

  Jun Liu; Fei Cheng; Yiran Wang; Yuji Matsumoto

  The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC), oral presentation, Dec. 2018, Peer-reviewed

  
• Inducing Temporal Relations from Time Anchor Annotation

  Fei Cheng; Yusuke Miyao

  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologie (NAACL 2018), Volumn 1, Jun. 2018, Peer-reviewed

  
• Studies on improving two fundamental steps for Chinese natural language processing: word segmentation and spelling check

  Fei Cheng

  Nara Institute of Science and Technology, Ph.D. Dissertation, 23 Mar. 2018, Peer-reviewed

  
• 経済記事からの不祥事報道検知

  Jason Bennett; 野原崇史; Fei Cheng; 石田隆; 宮尾祐介

  言語処理学会 第24回年次大会, Mar. 2018

  
• 時刻アノテーションから導出した時間順序関係による時間情報解析

  Fei Cheng; Yusuke Miyao

  言語処理学会 第24回年次大会, Mar. 2018

  
• Towards a Consistent Segmentation Level Across Multiple Chinese Word Segmentation Corpora

  Fei Cheng; Kevin Duh; Yuji Matsumoto

  Journal of Natural Language Processing, Dec. 2017, Peer-reviewed

  
• Classifying temporal relations by bidirectional LSTM over dependency paths

  Fei Cheng; Yusuke Miyao

  Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (ACL 2017), 2017, Peer-reviewed

  
• A Hybrid Ranking Approach to Chinese Spelling Check

  Xiaodong Liu*; Fei Cheng*; Kevin Duh; Yuji Matsumoto; (*)qual contribution

  ACM Trans. Asian Low-Resour. Lang. Inf. Process., Nov. 2015, Peer-reviewed

  
• Synthetic word parsing improves chinese word segmentation

  Fei Cheng; Kevin Duh; Yuji Matsumoto

  Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL 2015), Volume 2, 2015, Peer-reviewed

  
• Parsing Chinese Synthetic Words with a Character-based Dependency Model

  Fei Cheng; Kevin Duh; Yuji Matsumoto

  LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2014, Peer-reviewed

  
• A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking

  Xiaodong Liu; Fei Cheng; Yanyan Luo; Kevin Duh; Yuji Matsumoto

  Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing, Oct. 2013, Peer-reviewed

  
• Using Large-scale unlabeled data for parsing internal structure of Chinese synthetic words

  Fei Cheng

  22 Mar. 2013, Peer-reviewed

  

Misc.

• Navigating Global and Local Generative AI Tools in Highe Education: Perspectives from Chinese Students

  Qin Xie; Ming Li; Fei Cheng

  The 69th Annual Meeting of the Comparative and International Education Society (CIES 2025), Mar. 2025, Peer-reviewed

  
• Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review

  Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng

  The 36th CHER Annual Conference “Higher Education and Science Future(s): Trends, Imaginaries, and Alternatives”, Sep. 2024, Peer-reviewed

  
• Medical/Clinical Text Annotation Guidelines

  Yada, Shuntaro; Aramaki, Eiji; Tanaka, Ribeka; Cheng, Fei; Kurohashi, Sadao

  Figshare, 20 Dec. 2021

  
• ChatGPT in higher education: a scoping review of ethical implications

  Ming Li; Ariunaa Enkhtur; Fei Cheng; Anne Beverley Yamamoto

  The 68th Annual Meeting of the Comparative and International Education Society (CIES 2024), Mar. 2024, Peer-reviewed

  
• 時間的常識理解へ向けた言語モデル構築への取り組み

  木村 麻友子; KANASHIRO Pereira Lis; 浅原 正幸; CHENG Fei; 越智 綾子; 小林 一郎

  2022年度人工知能学会全国大会（第36回）, Jun. 2022

  

Industrial Property Rights

• 特開2019-149072, 特願2018-034224, イベント時間情報特定システム

  宮尾祐介; 程飛; ジェイスンベネット; 野原崇史

  

Awards

• 16 Mar. 2023

  The Association for Natural Language Processing, Outstanding paper

  大規模言語モデルに基づく複数の外部ツールを利用した推論フレームワーク

  Tatsuro Inaba,Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi
• 05 Aug. 2021

  The 15th International Workshop on Semantic Evaluation (SemEval-2021), Best System Paper Award (Honorable Mention)

  OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction

  Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, and Ichiro Kobayashi

External funds: Kakenhi

• Temporal knowledge supervision for pre-training tranfer learning models

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Complex systems

  Kyoto University

  程 飛

  From 01 Apr. 2021, To 31 Mar. 2023, Project Closed

  Temporal Reasoning;Commonsense Reasoning;Large Language Model;Weak Supervision;temporal knowledge;deep neural networks;transfer learning;temporal reasoning;knowledge pre-training;contrastive learning;Temporal Knowledge;Natural Language;Neural Networks;Deep Learning

  https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-21H00308/
• Exploring Deep Neural Networks for Temporal Information Extraction

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Complex systems

  Kyoto University

  程 飛

  From 01 Apr. 2019, To 31 Mar. 2021, Project Closed

  Information extraction;Neural networks;Language processing;Temporal Information;Natural Language;Deep Learning;Information Extraction;Relation Extraction;Temporal Relation;Neural Networks;Multilingual Data

  https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-19H05318/
• Is "2019" Earlier than "2022"? Unsupervised Temporal Representation Learning via Contrastive Learning.

  Grant-in-Aid for Early-Career Scientists

  Basic Section 61030:Intelligent informatics-related

  Kyoto University

  程 飛

  From 01 Apr. 2023, To 31 Mar. 2025, Granted

  Temporal reasnoning;Large language model;Common sense reasoning;Numerical reasoning;Contrastive learning;自然言語処理;大規模言語モデル;常識推論;時間的常識推論

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K16946/
• Building a Comprehensive Framework for the Integration of Generative AI into Educational and Learning Environments in Higher Education

  Grant-in-Aid for Scientific Research (C)

  Basic Section 09050:Tertiary education-related

  Osaka University

  LI MING

  From 01 Apr. 2024, To 31 Mar. 2027, Granted

  高等教育;生成AI;フレームワーク構築;ChatGPT

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K06100/

Academic, Social Contribution

Committee Memberships

• From Jun. 2025, To Sep. 2025

  Program Chair, The 22nd China-Japan Natural Language Processing Joint Promotion Conference (CJNLP2025)
• From May 2025, To Present

  Area Chair, Session Chair (Information Extraction and Retrieval 1), EMNLP 2025
• From Feb. 2025, To Aug. 2025

  Area Chair, ACL 2025
• From Oct. 2024, To May 2025

  Area Chair, NAACL 2025
• From Oct. 2024, To Present

  Standing Review Committee, Computational Linguistics
• From Sep. 2024, To Present

  Associate Editors, Journal of Natural Language Processing, Japan
• From Jun. 2024, To Nov. 2024

  Area Chair, EMNLP 2024
• From Feb. 2024, To Sep. 2024

  Organizer, CJNLP 2024The 21st China-Japan Natural Language Processing Joint Promotion Conference (CJNLP2024)
• From 2015, To Present

  Journal reviewer, TALLIP, JNLP,IP&M,TASLP
• From May 2024, To Present

  Action Editor, ACL Rolling Review
• From 2015, To Present

  Program Committee Member, ACL, EMNLP, NAACL, EACL, COLING, AAAI, CoNLL, NLPCC, ANLP