CHENG Fei

Last Update: 2021/07/12 14:10:11

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Name(Kanji/Kana/Abecedarium Latinum)
CHENG Fei/テイ ヒ/Cheng, Fei
Primary Affiliation(Org1/Job title)
Graduate Schools Informatics/Program-Specific Assistant Professor
Academic Degree
Field(Japanese) Field(English) University(Japanese) University(English) Method
修士(工学) 奈良先端科学技術大学院大学 Nara Institute of Science and Technology
博士(工学) 奈良先端科学技術大学院大学 Nara Institute of Science and Technology
Personal Profile
(English)
Fei Cheng received his Ph.D. in Informatics from NARA Institute of Science and Technology in 2018. Currently, he is a program-specific assistant professor at Kyoto University. His research interests include natural language processing and information extraction. He is a member of ACL and ANLP.
researchmap URL
https://researchmap.jp/chengfei
Research Topics
(Japanese)
自然言語処理、情報抽出
(English)
Natural Language Processing, Information Extraction
Overview of the research
(English)
1. Information extraction, particularly temporal relation extraction, event time prediction 2. cross-lingual word representations 3. Chinese morphological analysis
Fields of research (key words)
Key words(Japanese) Key words(English)
自然言語処理 Natural Language Processing
知能情報処理 Intelligent information processing
Published Papers
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction Proceedings of the Fifteenth Workshop on Semantic Evaluation Proceedings of the Fifteenth Workshop on Semantic Evaluation Proceedings of the Fifteenth Workshop on Semantic Evaluation 2021/05 Refereed English Research paper(international conference proceedings) Disclose to all
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 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 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 A System for Worldwide COVID-19 Information Aggregation A System for Worldwide COVID-19 Information Aggregation A System for Worldwide COVID-19 Information Aggregation NLP COVID-19 Workshop (Part 2) at the 2020 Conference on Empirical Methods in Natural Language Processing. NLP COVID-19 Workshop (Part 2) at the 2020 Conference on Empirical Methods in Natural Language Processing. NLP COVID-19 Workshop (Part 2) at the 2020 Conference on Empirical Methods in Natural Language Processing. 2020/11 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning Findings of the 2020 Conference on Empirical Methods in Natural Language Processing Findings of the 2020 Conference on Empirical Methods in Natural Language Processing Findings of the 2020 Conference on Empirical Methods in Natural Language Processing 2020/11 Refereed English Research paper(international conference proceedings) Disclose to all
Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction Findings of the 2020 Conference on Empirical Methods in Natural Language Processing Findings of the 2020 Conference on Empirical Methods in Natural Language Processing Findings of the 2020 Conference on Empirical Methods in Natural Language Processing 2020/11 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors arXiv arXiv arXiv 2020/07 English Disclose to all
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 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 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 A System for Worldwide COVID-19 Information Aggregation A System for Worldwide COVID-19 Information Aggregation A System for Worldwide COVID-19 Information Aggregation Poster of NLP-COVID19 Workshop at the 58th Annual Meeting of the Association for Computational Linguistics Poster of NLP-COVID19 Workshop at the 58th Annual Meeting of the Association for Computational Linguistics Poster of NLP-COVID19 Workshop at the 58th Annual Meeting of the Association for Computational Linguistics 2020/07 English Research paper(research society, symposium, etc.) Disclose to all
Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita Pre-training via Leveraging Assisting Languages for Neural Machine Translation Pre-training via Leveraging Assisting Languages for Neural Machine Translation Pre-training via Leveraging Assisting Languages for Neural Machine Translation Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 279-285 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 279-285 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 279-285 2020/07 Refereed English Research paper(international conference proceedings) Disclose to all
Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Adversarial Training for Commonsense Inference Adversarial Training for Commonsense Inference Adversarial Training for Commonsense Inference Proceedings of the 5th Workshop on Representation Learning for NLP, 55-60 Proceedings of the 5th Workshop on Representation Learning for NLP, 55-60 Proceedings of the 5th Workshop on Representation Learning for NLP, 55-60 2020/07 Refereed English Research paper(international conference proceedings) Disclose to all
Chenjing Geng, Fei Cheng,Lis, Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi Chenjing Geng, Fei Cheng,Lis, Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi Chenjing Geng, Fei Cheng,Lis, Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi Japanese Temporal Relation Classification with Joint Dependency and Contextual Representations 依存関係と文脈表現を用いた日本語時間関係識別 Japanese Temporal Relation Classification with Joint Dependency and Contextual Representations 人工知能学会全国大会(第34回) 人工知能学会全国大会(第34回) 人工知能学会全国大会(第34回) 2020/06 Japanese Research paper(other academic) Disclose to all
Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases Proceedings of The 12th Language Resources and Evaluation Conference, 4565-4572 Proceedings of The 12th Language Resources and Evaluation Conference, 4565-4572 Proceedings of The 12th Language Resources and Evaluation Conference, 4565-4572 2020/05 Refereed English Research paper(international conference proceedings) Disclose to all
Chenjing Geng, Lis Kanashiro, Pereira, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Chenjing Geng, Lis Kanashiro, Pereira, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Chenjing Geng, Lis Kanashiro, Pereira, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi Dependency Enhanced Contextual Representations for JapaneseTemporal Relation Classification Dependency Enhanced Contextual Representations for JapaneseTemporal Relation Classification Dependency Enhanced Contextual Representations for JapaneseTemporal Relation Classification ⾔語処理学会第26 回年次⼤会 ⾔語処理学会第26 回年次⼤会 ⾔語処理学会第26 回年次⼤会 2020/03 English Research paper(other academic) Disclose to all
Jun Liu, Fei Cheng, Yiran Wang, Yuji Matsumoto Jun Liu, Fei Cheng, Yiran Wang, Yuji Matsumoto Jun Liu, Fei Cheng, Yiran Wang, Yuji Matsumoto Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC), oral presentation The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC), oral presentation The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC), oral presentation 2018/12 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Inducing Temporal Relations from Time Anchor Annotation Inducing Temporal Relations from Time Anchor Annotation Inducing Temporal Relations from Time Anchor Annotation Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologie, Volumn 1, 1833-1843 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologie, Volumn 1, 1833-1843 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologie, Volumn 1, 1833-1843 2018/06 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng Fei Cheng Fei Cheng Studies on improving two fundamental steps for Chinese natural language processing: word segmentation and spelling check Studies on improving two fundamental steps for Chinese natural language processing: word segmentation and spelling check Studies on improving two fundamental steps for Chinese natural language processing: word segmentation and spelling check Nara Institute of Science and Technology, Ph.D. Dissertation Nara Institute of Science and Technology, Ph.D. Dissertation 2018/03/23 Refereed English Doctoral Thesis Disclose to all
Jason Bennett, 野原崇史, Fei Cheng, 石田隆, 宮尾祐介 Jason Bennett, 野原崇史, Fei Cheng, 石田隆, 宮尾祐介 Jason Bennett, 野原崇史, Fei Cheng, 石田隆, 宮尾祐介 経済記事からの不祥事報道検知 経済記事からの不祥事報道検知 経済記事からの不祥事報道検知 言語処理学会 第24回年次大会 言語処理学会 第24回年次大会 言語処理学会 第24回年次大会 2018/03 Japanese Research paper(other academic) Disclose to all
Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao 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 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 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 言語処理学会 第24回年次大会 言語処理学会 第24回年次大会 言語処理学会 第24回年次大会 2018/03 Japanese Research paper(other academic) Disclose to all
Fei Cheng, Kevin Duh, Yuji Matsumoto Fei Cheng, Kevin Duh, Yuji Matsumoto Fei Cheng, Kevin Duh, Yuji Matsumoto Towards a Consistent Segmentation Level Across Multiple Chinese Word Segmentation Corpora Towards a Consistent Segmentation Level Across Multiple Chinese Word Segmentation Corpora Towards a Consistent Segmentation Level Across Multiple Chinese Word Segmentation Corpora Journal of Natural Language Processing, 24, 5, 669-686 Journal of Natural Language Processing, 24, 5, 669-686 Journal of Natural Language Processing, 24, 5, 669-686 2017/12 Refereed English Research paper(scientific journal) Disclose to all
Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Fei Cheng, Yusuke Miyao Classifying temporal relations by bidirectional LSTM over dependency paths Classifying temporal relations by bidirectional LSTM over dependency paths Classifying temporal relations by bidirectional LSTM over dependency paths ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2, 1-6 ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2, 1-6 ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2, 1-6 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Xiaodong Liu*, Fei Cheng*, Kevin Duh, Yuji Matsumoto, (*)qual contribution Xiaodong Liu*, Fei Cheng*, Kevin Duh, Yuji Matsumoto, (*)qual contribution Xiaodong Liu*, Fei Cheng*, Kevin Duh, Yuji Matsumoto, (*)qual contribution A Hybrid Ranking Approach to Chinese Spelling Check A Hybrid Ranking Approach to Chinese Spelling Check A Hybrid Ranking Approach to Chinese Spelling Check ACM Trans. Asian Low-Resour. Lang. Inf. Process., 14, 4, 16:1-16:17 ACM Trans. Asian Low-Resour. Lang. Inf. Process., 14, 4, 16:1-16:17 ACM Trans. Asian Low-Resour. Lang. Inf. Process., 14, 4, 16:1-16:17 2015/11 Refereed English Research paper(scientific journal) Disclose to all
Cheng, Fei, Kevin Duh, Yuji Matsumoto Cheng, Fei, Kevin Duh, Yuji Matsumoto Cheng, Fei, Kevin Duh, Yuji Matsumoto Synthetic word parsing improves chinese word segmentation. Synthetic word parsing improves chinese word segmentation. Synthetic word parsing improves chinese word segmentation. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Volume 2, 262-267 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Volume 2, 262-267 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Volume 2, 262-267 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng, Kevin Duh, Yuji Matsumoto Fei Cheng, Kevin Duh, Yuji Matsumoto Fei Cheng, Kevin Duh, Yuji Matsumoto Parsing Chinese Synthetic Words with a Character-based Dependency Model Parsing Chinese Synthetic Words with a Character-based Dependency Model Parsing Chinese Synthetic Words with a Character-based Dependency Model LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION 2014 Refereed English Research paper(international conference proceedings) Disclose to all
Xiaodong Liu, Fei Cheng, Yanyan Luo, Kevin Duh, Yuji Matsumoto Xiaodong Liu, Fei Cheng, Yanyan Luo, Kevin Duh, Yuji Matsumoto Xiaodong Liu, Fei Cheng, Yanyan Luo, Kevin Duh, Yuji Matsumoto A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing 2013/10 Refereed English Research paper(international conference proceedings) Disclose to all
Fei Cheng Fei Cheng Fei Cheng Using Large-scale unlabeled data for parsing internal structure of Chinese synthetic words Using Large-scale unlabeled data for parsing internal structure of Chinese synthetic words Using Large-scale unlabeled data for parsing internal structure of Chinese synthetic words 2013/03/22 Refereed English Master's Thesis Disclose to all

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External funds: competitive funds and Grants-in-Aid for Scientific Research (Kakenhi)
Type Position Title(Japanese) Title(English) Period
新学術領域研究(研究領域提案型) Representative Exploring Deep Neural Networks for Temporal Information Extraction 2019/04/01-2021/03/31
新学術領域研究(研究領域提案型) Representative Temporal knowledge supervision for pre-training transfer learning models 2021/04/01-2023/03/31