基本情報

所属学協会

• 至 現在

  言語処理学会
• 至 現在

  ELRA Language Resources Association
• 至 現在

  International Committee on Computational Linguistics
• 至 現在

  Association of Computational LInguistics

学位

• 修士（工学）(奈良先端科学技術大学院大学)
• 博士（工学）(奈良先端科学技術大学院大学)

経歴

• 自 2024年03月, 至 現在

  Kyoto University, Graduate School of Informatics, Program-Specific Senior Lecture/Junior Associate Professor
• 自 2019年04月, 至 2024年02月

  Kyoto University, Graduate School of Informatics, Program-Specific Assistant Professor
• 自 2016年09月, 至 2019年03月

  National Institute of Informatics, Research Center for Smart Data, Post-doctoral Researcher
• 自 2012年04月, 至 2016年03月

  Nara Institute of Science and Technology, Graduate School of Information Science, Research Assistant
• 自 2005年07月, 至 2009年10月

  Shanghai Jiaoda Withub Information Industrial Co Ltd, Engineer

ID,URL

• J-Global ID

  201801009576919609

researchmap URL

• https://researchmap.jp/chengfei

研究

研究テーマ・研究概要

• 研究テーマ

  自然言語処理、情報抽出

• 研究概要

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

研究キーワード

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

研究分野

• 情報通信, 知能情報学, 自然言語処理

論文

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

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

  arXiv preprint, 2025年01月

  
• 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年

  
• 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), 2024年11月, 査読有り

  
• 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年

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

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

  arXiv preprint, 2024年07月

  
• 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, 2024年07月

  
• 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), 2024年08月, 査読有り

  
• 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), 2024年05月20日, 査読有り

  
• 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), 2024年05月20日, 査読有り

  
• 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

  2022年03月29日, 査読有り

  
• 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年, 査読有り

  
• 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), 2023年12月, 査読有り

  
• 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, 2023年06月16日

  
• 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), 2023年07月, 査読有り

  
• 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), 2023年06月, 査読有り

  
• 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., 2023年05月, 査読有り

  この論文にアクセスする：

  
• 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), 2023年05月, 査読有り

  この論文にアクセスする：

  
• 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

  稲葉達郎; 清丸寛一; Fei Cheng; 黒橋禎夫

  言語処理学会第29回年次大会, 2023年03月

  
• 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), 2022年12月, 査読有り

  
• 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, 2022年12月, 査読有り

  
• 汎用的な臨床医学テキストアノテーション仕様およびガイドラインの策定: 重篤肺疾患ドメインに着目して

  矢田竣太郎; 田中リベカ; Fei Cheng; 荒牧英治; 黒橋禎夫

  自然言語処理, 2022年12月, 査読有り

  
• 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), 2022年11月, 査読有り

  
• 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, 2022年07月, 査読有り

  
• 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), 2022年06月, 査読有り

  
• 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), 2022年06月, 査読有り

  
• 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), 2022年06月, 査読有り, 筆頭著者

  
• 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, 2022年03月

  
• 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, 2022年03月

  
• 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), 2021年11月, 査読有り

  
• 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), 2021年11月, 査読有り

  
• 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), 2021年11月, 査読有り

  
• JaMIE: A Pipeline Japanese Medical Information Extraction System.

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

  CoRR, 2021年

  
• 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年, 査読有り

  
• 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., 2020年11月, 査読有り

  
• 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, 2020年11月, 査読有り

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

  Fei Cheng; Yusuke Miyao

  arXiv, 2020年07月

  
• 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, 2020年07月

  
• 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, 2020年07月, 査読有り

  
• 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, 2020年07月, 査読有り

  
• 依存関係と文脈表現を用いた日本語時間関係識別

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

  人工知能学会全国大会（第34回）, 2020年06月

  
• 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, 2020年05月, 査読有り

  
• 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, 2020年03月

  
• 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年, 査読有り, 筆頭著者

  
• 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, 2018年12月, 査読有り

  
• 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, 2018年06月, 査読有り

  
• 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, 2018年03月23日, 査読有り

  
• 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, 2018年03月

  
• 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, 2018年03月

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

  Fei Cheng; Kevin Duh; Yuji Matsumoto

  Journal of Natural Language Processing, 2017年12月, 査読有り

  
• 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年, 査読有り

  
• 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., 2015年11月, 査読有り

  
• 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年, 査読有り

  
• 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年, 査読有り

  
• 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, 2013年10月, 査読有り

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

  Fei Cheng

  2013年03月22日, 査読有り

  

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), 2025年03月, 査読有り

  
• 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”, 2024年09月, 査読有り

  
• 臨床医学テキストアノテーションガイドライン

  矢田竣太郎; 荒牧英治; 田中リベカ; Fei Cheng; 黒橋禎夫

  Figshare, 2021年12月20日

  
• 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), 2024年03月, 査読有り

  
• 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）, 2022年06月

  

産業財産権

• 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

  

受賞

• 2023年03月16日

  言語処理学会, 優秀賞

  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

  稲葉達郎, 清丸寛一, Fei Cheng, 黒橋禎夫
• 2021年08月05日

  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

外部資金：科学研究費補助金

• Temporal knowledge supervision for pre-training tranfer learning models

  新学術領域研究(研究領域提案型)

  複合領域

  京都大学

  程 飛

  自 2021年04月01日, 至 2023年03月31日, 完了

  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

  新学術領域研究(研究領域提案型)

  複合領域

  京都大学

  程 飛

  自 2019年04月01日, 至 2021年03月31日, 完了

  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.

  若手研究

  小区分61030:知能情報学関連

  京都大学

  程 飛

  自 2023年04月01日, 至 2025年03月31日, 交付

  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/
• 高等教育における教育・学習環境への生成AI統合のための包括的フレームワーク構築

  基盤研究(C)

  小区分09050:高等教育学関連

  大阪大学

  LI MING

  自 2024年04月01日, 至 2027年03月31日, 交付

  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/

学術・社会貢献

委員歴

• 自 2025年02月, 至 現在

  Area Chair, ACL 2025
• 自 2024年10月, 至 現在

  Area Chair, NAACL 2025
• 自 2024年10月, 至 現在

  Standing Review Committee, Computational Linguistics
• 自 2024年09月, 至 現在

  編集委員, 「自然言語処理」
• 自 2024年06月, 至 2024年11月

  Area Chair, EMNLP 2024
• 自 2024年02月, 至 2024年09月

  Organizer, CJNLP 2024
• 自 2015年, 至 現在

  Journal reviewer, TALLIP, JNLP
• 自 2024年05月, 至 現在

  Action Editor, ACL Rolling Review
• 自 2015年, 至 現在

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