Machi Shimmei

According to our database, Machi Shimmei authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Automatic Feedback Generation for Japanese Reading Comprehension Short-Answer Questions Using Discourse-Structure-based Answer Diagnostic Graphs.

Momoka Furuhashi, Hiroaki Funayama, Yuichiroh Matsubayashi, Machi Shimmei, Yoriko Isobe, Yutaka Ishii, Kentaro Inui

J. Nat. Lang. Process., 2026

Misconception-Aware Prompting Can Generate Authentic Analytical Multiple-Choice Questions.

Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda

IEEE Access, 2026

2025

FOCUS: A Benchmark for Targeted Socratic Question Generation via Source-Span Grounding.

Surawat Pothong, Machi Shimmei, Naoya Inoue, Paul Reisert, Ana Brassard, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Identification of Multiple Logical Interpretations in Counter-Arguments.

Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi, Kentaro Inui

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding is Hinted.

Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data.

Jeanne McClure, Machi Shimmei, Noboru Matsuda, Shiyan Jiang

CoRR, 2024

2023

Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data.

Machi Shimmei, Noboru Matsuda

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives.

Machi Shimmei, Norman L. Bier, Noboru Matsuda

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Automatic Question Generation for Evidence-based Online Courseware Engineering.

Machi Shimmei, Noboru Matsuda

Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), 2022

2021

Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions.

Machi Shimmei, Noboru Matsuda

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering.

Machi Shimmei, Noboru Matsuda

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning.

Machi Shimmei, Noboru Matsuda

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

PASTEL: Evidence-based Learning Engineering Method to Create Intelligent Online Textbook at Scale.

Noboru Matsuda, Machi Shimmei

Proceedings of the First Workshop on Intelligent Textbooks co-located with 20th International Conference on Artificial Intelligence in Education (AIED 2019), 2019