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 Category:

presentation

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.

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.

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)

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)