Sugawara Saku 菅原朔

Researcher Number	10855894
Affiliation (Current)	2025: 国立情報学研究所, コンテンツ科学研究系, 助教
Affiliation (based on the past Project Information) *help	2025: 国立情報学研究所, コンテンツ科学研究系, 助教 2020 – 2023: 国立情報学研究所, コンテンツ科学研究系, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / 1001:Information science, computer engineering, and related fields
Keywords	Principal Investigator 計算言語学 / 自然言語処理 / 文章読解 / 自然言語理解 / 談話理解 / 質問応答 / 機械読解 / 言語理解

生得原理の探究による自然な言語獲得モデルの構築Principal Investigator
- Principal Investigator
  
  菅原朔
- Project Period (FY)
  2025 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  National Institute of Informatics
Constructing Reading Comprehension Datasets to Evaluate Discourse-level Language UnderstandingPrincipal Investigator
- Principal Investigator
  
  菅原朔
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  National Institute of Informatics
Creating Auxiliary Questions for Explainable Evaluation of Machine Reading ComprehensionPrincipal Investigator
- Principal Investigator
  
  Sugawara Saku
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1001:Information science, computer engineering, and related fields
- Research Institution
  National Institute of Informatics

All 2023 2022 2021

All Journal Article

[Journal Article] Which Shortcut Solution Do Question Answering Models Prefer to Learn?2023
- Author(s)
  Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa
- Journal Title
  
  Proceedings of the 37th AAAI Conference on Artificial Intelligence
  
  Volume: 1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments2023
- Author(s)
  Asami Daiki、Sugawara Saku
- Journal Title
  
  Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
  
  Volume: 1 Pages: 122-137
- DOI
  10.18653/v1/2023.conll-1.9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension2023
- Author(s)
  Kawabata Akira、Sugawara Saku
- Journal Title
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  
  Volume: 1 Pages: 116-143
- DOI
  10.18653/v1/2023.emnlp-main.9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] On Degrees of Freedom in Defining and Testing Natural Language Understanding2023
- Author(s)
  Sugawara Saku、Tsugita Shun
- Journal Title
  
  Findings of the Association for Computational Linguistics: ACL 2023
  
  Volume: 1 Pages: 13625-13649
- DOI
  10.18653/v1/2023.findings-acl.861
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering2023
- Author(s)
  Ho Xanh、Duong Nguyen Anh-Khoa、Sugawara Saku、Aizawa Akiko
- Journal Title
  
  Findings of the Association for Computational Linguistics: EACL 2023
  
  Volume: 1 Pages: 1163-1180
- DOI
  10.18653/v1/2023.findings-eacl.87
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954, KAKENHI-PROJECT-21H03502
[Journal Article] 読解問題における論理推論の一貫性評価2023
- Author(s)
  川畑輝, 菅原朔
- Journal Title
  
  言語処理学会第29回年次大会発表論文集
  
  Volume: - Pages: 2914-2919
- Open Access
- Data Source
  KAKENHI-PROJECT-20K23335
[Journal Article] Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering2023
- Author(s)
  Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa
- Journal Title
  
  Proceedings of the Workshop on Knowledge Augmented Methods for NLP
  
  Volume: 1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] How Well Do Multi-hop Reading Comprehension Models Understand Date Information?2022
- Author(s)
  Xanh Ho, Saku Sugawara, Akiko Aizawa
- Journal Title
  
  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
  
  Volume: 1 Pages: 470-479
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering2022
- Author(s)
  Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa
- Journal Title
  
  Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  
  Volume: 1 Pages: 418-425
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios2022
- Author(s)
  Mana Ashida, Saku Sugawara
- Journal Title
  
  Proceedings of the 29th International Conference on Computational Linguistics
  
  Volume: 1 Pages: 3606-3630
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17954
[Journal Article] Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap.2021
- Author(s)
  Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa
- Journal Title
  
  The 3rd Workshop on Machine Reading for Question Answering (MRQA), at the 2021 conference on Empirical Methods in Natural Language Processing (EMNLP)
  
  Volume: - Pages: 63-72
- DOI
  10.18653/v1/2021.mrqa-1.6
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03502, KAKENHI-PROJECT-20K23335
[Journal Article] Benchmarking Machine Reading Comprehension: A Psychological Perspective2021
- Author(s)
  Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
- Journal Title
  
  Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  
  Volume: 1 Pages: 1592-1612
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K23335
[Journal Article] Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation2021
- Author(s)
  Shinoda Kazutoshi、Sugawara Saku、Aizawa Akiko
- Journal Title
  
  Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
  
  Volume: - Pages: 197-214
- DOI
  10.18653/v1/2021.acl-srw.21
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K23335

1. 相澤彰子

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Sugawara Saku 菅原 朔

Research Projects

Research Products

Co-Researchers

生得原理の探究による自然な言語獲得モデルの構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Constructing Reading Comprehension Datasets to Evaluate Discourse-level Language UnderstandingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Creating Auxiliary Questions for Explainable Evaluation of Machine Reading ComprehensionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Which Shortcut Solution Do Question Answering Models Prefer to Learn?2023

Author(s)

Journal Title

Data Source

[Journal Article] PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] On Degrees of Freedom in Defining and Testing Natural Language Understanding2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 読解問題における論理推論の一貫性評価2023

Author(s)

Journal Title

Data Source

[Journal Article] Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering2023

Author(s)

Journal Title

Data Source

[Journal Article] How Well Do Multi-hop Reading Comprehension Models Understand Date Information?2022

Author(s)

Journal Title

Data Source

[Journal Article] Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering2022

Author(s)

Journal Title

Data Source

[Journal Article] Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios2022

Author(s)

Journal Title

Data Source

[Journal Article] Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap.2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Benchmarking Machine Reading Comprehension: A Psychological Perspective2021

Author(s)

Journal Title

Data Source

[Journal Article] Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation2021

Author(s)

Journal Title

DOI

Data Source

Sugawara Saku 菅原朔