What Makes Reading Comprehension Questions Easier? S Sugawara, K Inui, S Sekine, A Aizawa Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 130 | 2018 |
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps X Ho, AKD Nguyen, S Sugawara, A Aizawa Proceedings of the 28th International Conference on Computational …, 2020 | 101 | 2020 |
Assessing the benchmarking capacity of machine reading comprehension datasets S Sugawara, P Stenetorp, K Inui, A Aizawa Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8918-8927, 2020 | 77 | 2020 |
Evaluation metrics for machine reading comprehension: Prerequisite skills and readability S Sugawara, Y Kido, H Yokono, A Aizawa Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 41 | 2017 |
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? N Nangia, S Sugawara, H Trivedi, A Warstadt, C Vania, SR Bowman Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 28 | 2021 |
Embracing Ambiguity: Shifting the Training Target of NLI Models JM Meissner, N Thumwanit, S Sugawara, A Aizawa Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 20 | 2021 |
Prerequisite skills for reading comprehension: Multi-perspective analysis of mctest datasets and systems S Sugawara, H Yokono, A Aizawa Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 20 | 2017 |
Benchmarking Machine Reading Comprehension: A Psychological Perspective S Sugawara, P Stenetorp, A Aizawa Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 16* | 2021 |
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation K Shinoda, S Sugawara, A Aizawa Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 15* | 2021 |
An analysis of prerequisite skills for reading comprehension S Sugawara, A Aizawa Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016 | 14 | 2016 |
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU JM Meissner, S Sugawara, A Aizawa Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 12 | 2022 |
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap K Shinoda, S Sugawara, A Aizawa Proceedings of the 3rd Workshop on Machine Reading for Question Answering, 63-72, 2021 | 11 | 2021 |
What Makes Reading Comprehension Questions Difficult? S Sugawara, N Nangia, A Warstadt, SR Bowman Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 9 | 2022 |
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering K Shinoda, S Sugawara, A Aizawa Proceedings of the fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022 | 6 | 2022 |
Probing Physical Reasoning with Counter-Commonsense Context K Kondo, S Sugawara, A Aizawa Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 5 | 2023 |
A survey on measuring and mitigating reasoning shortcuts in machine reading comprehension X Ho, JM Meissner, S Sugawara, A Aizawa arXiv preprint arXiv:2209.01824, 2022 | 5 | 2022 |
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering X Ho, AKD Nguyen, S Sugawara, A Aizawa Findings of the Association for Computational Linguistics: EACL 2023, 2023 | 4 | 2023 |
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios M Ashida, S Sugawara Proceedings of the 29th International Conference on Computational …, 2022 | 4 | 2022 |
Improving translation of case descriptions into logical fact formulas using legalcasener MM Zin, HT Nguyen, K Satoh, S Sugawara, F Nishino Proceedings of the Nineteenth International Conference on Artificial …, 2023 | 3 | 2023 |
Which Shortcut Solution Do Question Answering Models Prefer to Learn? K Shinoda, S Sugawara, A Aizawa Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023 | 3 | 2023 |