Tohoku EduNLP Lab

Tohoku EduNLP Lab is a team at Tohoku University, working on computational approaches for human language, aiming to apply the cutting-edge AI technologies to humanities including education as well as society.

東北大学教育言語処理研究室は人間の言葉に計算機科学的にアプローチする研究を行っているチームです。 言語の計算科学を教育学を含めた人文科学に適用し、社会に役立てることを目指しています。

Contact Info

27-1 Kawauchi, Aoba-ku,
Sendai, Miyagi, JAPAN 9808576
〒980-8576
宮城県仙台市青葉区川内27-1
東北大学 川内南キャンパス
文科系総合研究棟

News on
Research Activities

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New lab member !

Hoshino-san, a third-year undergraduate student, joined our lab. Welcome!

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Kuroyanagi-san, Mizugami-san and Ishizuki-san entered our graduate school

Kuroyanagi-san and Mizugami-san advanced from undergraduate studies to our graduate program. In addition, Ishizuki-san, who completed the master’s program in 2022, enrolled in the doctoral program this year. Welcome again to all of them!

震明さん (松林さん共著) IEEE Access Accepted
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Acceptance to IEEE Access

Shinmei-san’s paper, co-authored with Matsubayashi-san, has been accepted by IEEE Access.

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

“ Misconception-Aware Prompting Can Generate Authentic Analytical Multiple-Choice Questions ”

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Itabashi-san, Nozue-san, Miura-san, Qiu-san, Kuroyanagi-san and Mizukami-san graduated!

The graduation ceremony was held, and the following members graduated. In addition, Nozue-san received the Graduate School of Education Dean’s Award. Congratulations to all of them!

Master’s students: Yasutomo Itabashi-san, Shinnosuke Nozue-san, and Naoki Miura-san
Undergraduate students: Qiu-san, Nao Kuroyanagi-san, and Kiichi Mizugami-san

卒業祝賀会での写真です。松林さん、板橋さん、野末さん、三浦さん、畔柳さん、水賀美さんが写っています。

野末さんは教育学研究科の研究科長賞を受賞しました。おめでとうございます!

野末さん第1回AAMT翻訳通訳研究会発表
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Presentation at the 1st AAMT Translation and Interpretation Study Group (formerly the AAMT Young Translators Study Group)

Nozue-san gave an online presentation at the 1st AAMT Translation and Interpretation Study Group (formerly the AAMT Young Translators Study Group).

項の復元は必要か?日英機械翻訳における省略された項の扱いの分析

○野末 慎之介 (東北大学), 松林 優一郎 (東北大学/理化学研究所), 藤井 諒 (フューチャー株式会社/東北大学), 岸波 洋介 (フューチャー株式会社), 森下 睦 (フューチャー株式会社/東北大学), 坂口 慶祐 (東北大学/理化学研究所)

久保田さんNLP2026
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Presentation at NLP 2026

Kubota-san, Plume-san, Itabashi-san, and Nozue-san submitted papers to NLP 2026 and gave poster presentations.

P8-18文章執筆支援のための項省略の可否判断予測モデル

○久保田 智天, 松林 優一郎 (東北大/理研), 乾 健太郎 (MBZUAI/東北大/理研)

P7-17一対一英語個別指導における教師の戦略予測モデル構築

○Lee Pureumae, 三浦 直己, Coyne Steven, 松林 優一郎 (東北大/理研)

P6-21英語長文穴埋め問題のための問題カテゴリ推定と空欄箇所選定手法の改善

○板橋 康知, 松林 優一郎 (東北⼤/理研)

C9-20項の復元は必要か?日英機械翻訳における省略された項の扱いの分析

○野末 慎之介 (東北大), 松林 優一郎 (東北大/理研), 藤井 諒 (フューチャー/東北大), 岸波 洋介 (フューチャー), 森下 睦 (フューチャー/東北大), 坂口 慶祐 (東北大/理研)

野末さんEMNLP 2025 Industry Track ポスター発表
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Presentation at EMNLP 2025 Industry Track

Nozue-san presented a poster at the EMNLP 2025 Industry Track.

  • Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe, Meguru Takasaki, Shoji Moriya, Reina Akama and Jun Suzuki.
    “Enhancing Persuasive Dialogue Agents by Synthesizing Cross‑Disciplinary Communication Strategies”

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AIED 2025 Best LBR Paper Award

The following paper received the AIED 2025 Best LBR Paper Award. Congratulations!

  • Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda.
    Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted

松林さんAIED Best Late Breaking Results Papar ノミネート
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Selected for Best Late Breaking Results Paper Nominee at AIED2025

The following paper was selected for the Best Paper Nominee at AIED2025 (Main Track, Late Breaking Results). Congratulations!

  • Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda.
    Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted

野末さん情報処理学会 NL研 - 若手奨励賞
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Received the Young Researchers Encouragement Award at the 264th IPSJ NLP Conference!

Nozue-san received the IPSJ-Young Researcher Encouragement Award. Congratulations!

日英翻訳タスクにおける大規模言語モデルのゼロ照応解析性能の影響

野末 慎之介(東北大学)

Cross-prompt Pre-finetuning of Language Models for Short Answer Scoring
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Journal Paper Accepted for IJAIED

The following paper with Funayama-san (TohokuNLP group) has been accepted for IJAIED

Hiroaki Funayama, Yuichiroh Matsubayashi, Yuya Asazuma, Tomoya Mizumoto, Kentaro Inui.Cross-prompt Pre-finetuning of Language Models for Short Answer Scoring. International Journal of Artificial Intelligence in Education (IJAIED), to appear, 2025.

M1_2025
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Kubota-san and Pureumae-san entered our graduate school

Kubota-san and Pureumae-san entered our graduate course. Welcome again!

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Selected for JSPS grants

Our research project was selected for a Grant-in-Aid for Scientific Research (B).

研究課題「言語AIによる実践的英語学習の個別最適な支援とエンゲージメントの向上」

https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-25K00470/

2024年度卒業岩瀬さん久保田さん
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Iwase-san,Kubota-san and Funayama-san graduated!

Our members, Yuya Iwase-san, Tomotaka Kubota-san and Hiroaki Funayama-san (Tohoku NLP Group) graduated! Congratulations!

久保田さんポスター発表 NLP2025
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Presentation at NLP 2025

Kubota-san gave a poster presentation at NLP2025!

  • 日本語文章の可読性評価のための項省略判断モデル

○久保田 智天 (東北大), 石月 由紀子 (フリー), 松林 優一郎 (東北大/理研)

古橋さん EDULEARN2024
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Presentation at EDULEARN 2024

Furuhashi-san made a presentation for the following paper at the 16th annual International Conference on Education and New Learning Technologies.(EDULEARN2024)

“Automatic feedback generation for short answer questions using Answer diagnostic graphs”

Momoka Furuhashi, Hiroaki Funayama, Yuya Iwase, Yuichiroh Matsubayashi, Yoriko Isobe, Toru Nagahama, Saku Sugawara and Kentaro Inui.

野末さんSIGDIAL 2024 発表
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Presentation at SIGDIAL2024

Nozue-san presented a demo paper at SIGDIAL2024!

Shinnosuke Nozue, Yuto Nakano, Shoji Moriya, Tomoki Ariyama, Kazuma Kokuta, Suchun Xie, Kai Sato, Shusaku Sone, Ryohei Kamei, Reina Akama, Yuichiroh Matsubayashi, Keisuke Sakaguchi. A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying. The Special Interest Group in discourse and dialogue (SIGDIAL 2024), pp. 669-673, September 2024.

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Miura-san, Itabashi-san and Nozue-san entered our graduate school

Miura-san, Itabashi-san and Nozue-san entered our our graduate course. Welcome again!

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Ishizuki-san graduated! Congratulations!

Yukiko Ishizuki-san graduated the master course! Congratulations!

石月さん LREC-COLING 2024
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Paper Accepted for LREC-COLING 2024

Ishizuki-san's paper has been accepted for the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)!

“To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese”

Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui

三浦さん EACL-SRW 2024
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Acceptance to EACL 2024 SRW

Miura-san's paper has been accepted for the EACL 2024 Student Research Workshop!

Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, Kentaro Inui. Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics Student Research Workshop (EACL-SRW 2024), pp.266–278, March 2024.

funayama-aied2022
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Paper Accepted for AIED 2022

The following paper with Funayama-san in Inui lab has been accepted for AIED 2022!

Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring, The 23rd International Conference on Artificial Intelligence in Education (AIED2022), pp.xxx-xxx, July 2022.

graduation2021
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Arai-san, Ishizuki-san and Minoh-san graduated! Congratulations!

Our undergraduate members, Madoka Arai-san, Yukiko Ishizuki-san and Yuki Minoh-san graduated. Congratulations!

ishizuki-nlp2022
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Presentation at NLP 2022

We made the following two presentations at NLP 2022!

D3:心理言語学・認知モデリング   3月15日(火) 15:20-17:00 Zoom

  • D3-4 情報量に基づく日本語項省略の分析
    ○石月由紀子 (東北大), 栗林樹生 (東北大/Langsmith), 松林優一郎 (東北大/理研), 大関洋平 (東大/理研)

E4:教育応用(2)   3月15日(火) 17:20-19:00 Zoom

  • E4-1 記述式答案自動採点における確信度推定とその役割
    ○舟山弘晃, 佐藤汰亮, 松林優一郎 (東北大/理研), 水本智也 (フューチャー/理研), 鈴木潤, 乾健太郎 (東北大/理研)

konno-emnlp2021-presentation
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Presentation at EMNLP 2021

Konno-san made a presentation for the following paper at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) main conference.

Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi and Kentaro Inui

Paper DOI: https://arxiv.org/abs/2104.07425
Presentation
Poster:konno-poster-emnlp2021
Code:GitHub

ishizhki-yans2021
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Presentation at YANS2021

Ishizuki-san made a presentation at The 16th Symposium of Young Researcher Association for NLP Studies (YANS)

[P4-10] 情報量に基づく日本語項省略の分析
○石月由紀子(東北大),栗林樹生(東北大/Langsmith),松林優一郎(東北大/理研),大関洋平(東大/理研)

konno-emnlp2021
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Paper Accepted for EMNLP 2021

The following paper with Konno-san has been accepted for EMNLP 2021 main conference!

Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi and Kentaro Inui

paper DOI: https://arxiv.org/abs/2104.07425

B3-2021
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Our new members!

Fujita-san, Iwase-san, Oba-san joined our lab. Welcome!

seiya-news
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Kikuchi-san entered our graduate school

Kikuchi-san entered our graduate course. Welcome again!

graduate1
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Onaka-san and Kikuchi-san graduated. Congratulations!

Our undergraduate members, Taisuke Onaka-san and Seiya Kikuchi-san graduated. Congratulations!

award-nlp2021
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Received the Special Committee Award at NLP2021!

The following paper of Onaka-san, Kikuchi-san, and Funayama-san received the Special Committee Award at NLP 2021!

菊地正弥, 尾中大介, 舟山弘晃, 松林優一郎, 乾健太郎 /
“項目採点技術に基づいた和文英訳答案の自動採点”

kikuchi-nlp2021
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Presentations at NLP 2021

We made the following three presentations at NLP 2021.

  • D4-3 項目採点技術に基づいた和文英訳答案の自動採点 ○菊地正弥, 尾中大介, 舟山弘晃, 松林優一郎, 乾健太郎 (東北大/理研)
  • C9-4 事前学習とfinetuningの類似性に基づくゼロ照応解析 ○今野颯人 (東北大), 清野舜 (理研/東北大), 松林優一郎 (東北大/理研), 大内啓樹 (理研), 乾健太郎 (東北大/理研)
  • WS3-6 実用的な自動採点のための確信度推定と根拠事例の提供 ○舟山弘晃(東北大/理研),王天奇(東北大/理研),松林優一郎(東北大/理研),水本智也(フューチャー/理研),佐藤汰亮(東北大/理研),鈴木潤(東北大/理研),乾健太郎(東北大/理研)

konno-accepted-coling2020
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Paper Accepted for COLING 2020

The following paper with Konno-san has been accepted for COLING 2020!

An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution.
Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi and Kentaro Inui.
In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.4956–4968, December 2020.

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Paper Accepted for Journal of Natural Language Processing

The following paper with Abe-san in Inui lab has been accepted for Journal of Natural Language Processing.

Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki and Kentaro Inui.
Multi-dialect Neural Machine Translation for 48 Low-resource Japanese Dialects.
Journal of Natural Language Processing. Volume 27, Number 4, pp.781-800, December 2020.

Paper DOI: https://doi.org/10.5715/jnlp.27.781

B3-2020
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New lab members!

Arai-san, Ishizuki-san, and Minoh-san joined our lab. Welcome!

funayama-ACLSRW2020
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Paper accepted at ACL SRW 2020

The following paper with Funayama-san in Inui lab has been accepted for ACL SRW 2020!

Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui.
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation.
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW), pp. 237–243, July 2020.

Paper

Presentation Video

graduate1
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Haruki Oka-san, graduated!

The first student in our laboratory, Haruki Oka-san, graduated. Congratulations!

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Paper Accepted for BUCLD44

The paper "The Input to Verb Learning in Japanese: Picture Books for Syntactic Bootstrapping" has been accepted for BUCLD 44.

Naho Orita, Asumi Suzuki, Yuichiro Matsubayashi.
The Input to Verb Learning in Japanese: Picture Books for Syntactic Bootstrapping.
In BUCLD 44: Proceedings of the 44th annual Boston University Conference on Language Development (BUCLD) edited by Megan M. Brown and Alexandra Kohut, pp. 457-464.

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Poster Accepted at CogSci 2019

Naho Orita, Asumi Suzuki, Yuichiro Matsubayashi. Verb arguments in Japanese picture books. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), July 2019.