Table of Contents

Academic Publications

Google Scholar Citations

International Journal

  1. Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada, “COMPASS: A creative support system that alerts novelists to the unnoticed missing contents,” Computer Speech & Language, Volume 80, 2023, 101484, ISSN 0885-2308, (open access)

  2. Hiroaki Yamane, Yusuke Mori, Tatsuya Harada, “Humor meets morality: Joke generation based on moral judgement,” Information Processing & Management, Volume 58, Issue 3, 2021, 102520, ISSN 0306-4573, (open access)

  3. Yusuke Mori, Hiroaki Yamane, Yoshitaka Ushiku, Tatsuya Harada, “How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness,” Information Processing & Management, Volume 56, Issue 5, 2019, Pages 1865-1879, ISSN 0306-4573,

International Conference/Workshop

  1. Kohtaro Tanaka, Hiroaki Yamane, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada, “Learning to Evaluate Humor in Memes Based on the Incongruity Theory,” When creative AI meets conversational AI (COLING 2022, Workshop), 2022. [PDF (ACL Anthology)] [Workshop website]
  2. Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Tatsuya Harada, “Plug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance,” The First Workshop on Intelligent and Interactive Writing Assistants (In2Writing) (ACL 2022, Workshop), 2022. [PDF (ACL Anthology)] [Code (GitHub)] [Workshop website]
  3. Kohei Uehara†, Yusuke Mori†, Yusuke Mukuta, Tatsuya Harada, († equal contribution) “ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer,” The 1st International Workshop on Multimodal Understanding for the Web and Social Media (WWW 2022, Workshop), 2022. [PDF] [preprint (arXiv)]
  4. Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada, “The Nectar of Missing Position Prediction for Story Completion,” Text2Story 2021 (ECIR 2021, Workshop), 2021. [Video (in the channel of the workshop on YouTube)] [PDF]
  5. Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada, “Finding and Generating a Missing Part for Story Completion,” 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) (COLING 2020, Workshop), 2020. [PDF (ACL Anthology)] [Code (GitHub)] [Presentation Slide (Workshop website)]
  6. Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada, “Toward a Better Story End: Collecting Human Evaluation with Reasons,” In Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019), 2019. [PDF (ACL Anthology)]

国内の研究会 (Domestic Workshop)

査読なし (unrefereed), in Japanese

  1. 森 友亮†, 上原康平†, 原田達也, († equal contribution) “視覚・言語融合 Transformer モデルによる画像からの物語文生成,” CAI+CAI first workshop (言語処理学会第 27 回年次大会 ワークショップ), 福岡(オンライン), 2021 年 3 月. [PDF (Workshop website)] [Presentation Slides (Workshop website)]
    • [English Title] VisualNT-BART: Image to Narrative Generation with Vision and Language Transformer
  2. 後藤 昂彦, 加沢 知毅, 宮本 大輔, ハウプト ステファン 周一, 森 友亮, 神崎 亮平, “大規模 RCGA による単一ニューロンに対する H-H 型モデルパラメータの推定 〜 カイコガ触角葉ニューロンを対象として 〜,” 信学技報, vol. 113, no. 382, NC2013-68, pp. 7-12, 福岡, 2014 年 1 月.
  3. 森 友亮, 加沢 知毅, 宮本 大輔, 神崎 亮平, “昆虫全脳シミューレーションに向けたスーパーコンピュータとのリアルタイム通信の検討,” 信学技報, vol. 113, no. 223, MBE2013-42, NC2013-28, pp. 35-40, 新潟, 2013 年 9 月.


  1. Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada, “Computational Storytelling and Emotions: A Survey”, arXiv:2205.10967, 2022. [preprint (arXiv)]


COMPASS (a writing support system to COMPlement Author unaware Story gapS)

We proposed COMPASS, a creative writing support system that suggests completing the missing information that storytellers unintentionally omitted [Mori et al., 2023].

We conducted a user study of four professional creators who use Japanese and confirmed the system’s usefulness. We hope this effort will be a basis for further research on collaborative creation between creators and AI.

See the paper (Open Access) for the detail.


(the gif is from Abstracts of papers published in 2023 in the laboratory website)

Missing Position Prediction

We proposed a new task of story understanding “Missing Position Prediction”, aiming human creative writing assistance [Mori et al., LaTeCH-CLfL 2020, Text2Story 2021].

You can access the code of the prototype demonstration system from here.

The code can be run in your local environment or the Google Colab.



  1. Yusuke Mori, “COMPASS: A creative support system developed for storytellers from their point of view”, Interdisciplinary Workshop on Analysis of TV content, Tokyo, Japan, 2023/03/14. [Workshop website]

Academic Activities



  • Information Fusion
  • Neural Networks