Hiroaki Funayama


Interests

  • Natural Language Processing (NLP)
  • Machine Learning
  • Automatic Scoring
  • Learning Support / Education Support

Publications

International Conference and Journals (Refereed)

  • Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring

    Hiroaki Funayama , Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. The 23rd International Conference on Artificial Intelligence in Education (AIED2022). pp 465–476, July 2022, Oral presentation, Durham University, UK, [Link], (Acceptance rate: 40/197 = 20.3%).

  • Generating Feature Attribution-based Explanations for Automated Short Answer Scoring

    Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa and Kentaro Inui. The 23rd International Conference on Artificial Intelligence in Education (AIED2022). pp 231–242, July 2022, Oral presentation, Durham University, UK, [Link], (Acceptance rate: 40/197 = 20.3%).

  • Data Augmentation by Rubrics for Short Answer Grading

    Tianqi Wang, Hiroaki Funayama, Hiroki Ouchi and Kentaro Inui, Journal of Natural Language Processing Volume 28 Number 1 . June 2021

  • Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation

    Hiroaki Funayama , Shota Sasaki, Yuichiro Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui, In the 58th Annual Meeting of the Association for Computational Linguistics Student Research Workshop (ACL-SRW). pp. 237–243, August 2020, Oral presentation (online), [Link], (Acceptance rate: 72/202=35.6%)

Domestic Conference and Symposium

  • 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, 水本智也, 鈴木潤, 乾健太郎. ⾔語処理学会第 28 回年次⼤会(NLP2022) ,オンライン,2022 年 3 ⽉

  • 根拠箇所に基づく自動採点結果の説明

    佐藤汰亮, 舟山弘晃 ,, 塙一晃, 浅妻佑弥, 乾健太郎. ⾔語処理学会第 28 回年次⼤会(NLP2022) ,オンライン,2022 年 3 ⽉

  • Incorporating Rubrics to Short Answer Grading

    王天奇, ⾈⼭弘晃 , ⼤内啓樹, 乾健太郎. ⾔語処理学会第 27 回年次⼤会(NLP2021) ,オンライン,2021 年 3 ⽉

  • 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. ⾔語処理学会第 27 回年次⼤会 (NLP2021), オンライン,2021 年 3 ⽉, 委員特別賞受賞, *はequal contributionを表す.

  • 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 ,王天奇,松林優⼀郎,⽔本智也,佐藤汰亮,鈴⽊潤,乾健太郎. NLP2021 ワークショップ ⽂章の評価と品質推定 〜⼈間・機械の「作⽂」の巧拙をどう⾒極めるか︖〜, 2021 年 3 ⽉, ポスター発表

  • 国語記述式答案⾃動採点の現状と実応⽤に向けて

    ⾈⼭弘晃 . 教育アセスメント×⾔語処理シン ポジウム : ⾃動採点、英⽂添削、論述評価の可能,2020 年 11 ⽉

  • 記述式答案自動採点のための確信度推定手法の検討

    舟山 弘晃 , 佐々木翔大, 水本智也, 三田雅人, 鈴木潤, 乾健太郎.言語処理学会第26回年次大会, March 2020, 口頭発表(オンライン)

  • 自動採点のための確信度推定手法

    舟山 弘晃, 佐々木翔大, 水本智也, 三田雅人, 鈴木潤, 乾健太郎. NLP若手の会第14回シンポジウム(YANS 2019), 札幌, August 2019, ポスター発表

  • seq2seqによる部首を考慮したニューラル漢字生成システム

    藤井諒, 舟山弘晃, 北山晃太郎, 阿部香央莉, Ana brassard, 三田雅人, 大内啓樹. NLP若手の会第14回シンポジウム(YANS 2019), 札幌, August 2019, ポスター発表

Experience

  • 2021.4 - Current

    RIKEN AIP Natural Language Understanding Team

    Part-time Researcher

  • 2021.4 - Current

    Graduate Program in Data Science, Tohoku University

    Research Assistant

  • 2020.9 - 2021.3

    Inui-Suzuki Lab, Tohoku University

    Teaching Assistant (Innovative Engineering Seminar)

  • 2020.4 - 2020.8

    School of Engineering, Tohoku University

    Teaching Assistant (Programming Practice on C)

Education

  • 2016.4 - 2020.3

    Tohoku University

    B.S. in Engineering
    Advisor: Prof. Kentaro Inui

  • 2020.4 - 2022.3

    Tohoku University

    M.S. in Information Sciences 
    Advisor: Prof. Kentaro Inui

  • 2022.4 - Current (In progress)

    Tohoku University

    Ph.D. in Information Sciences
    Advisor: Prof. Kentaro Inui