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J-GLOBAL ID:201801021298586121   Update date: Jan. 31, 2025

Inoue Naoya

イノウエ ナオヤ | Inoue Naoya
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Affiliation and department:
Job title: Associate Professor
Research field  (1): Intelligent informatics
Research keywords  (1): Language Model, Deep Learning, AI, Explainability, Data Science, Inference, Argumentation
Research theme for competitive and other funds  (4):
  • 2022 - 2027 Computational Modeling of Argumentation Understanding
  • 2021 - 2025 事象間関係知識の連続空間への埋め込みによる柔軟な推論機構の開発
  • 2015 - 2019 The computational modeling of deep, robust discourse analysis by integrating abductive reasoning, machine learning, and physical computing
  • 2016 - 2018 Structuralizing and aggregating instances of abstract world knowledge
Papers (57):
  • Camelia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang, Kentaro Inui. Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. Proceedings of the 10th Workshop on Argument Mining. 2023
  • Daichi Haraguchi, Kiyoaki Shirai, Naoya Inoue, Natthawut Kertkeidkachorn. Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach. EMNLP (Findings). 2023. 6401-6407
  • Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda 0001, Shoko Wakamiya, Naoya Inoue, et al. Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation. CoRR. 2023. abs/2305.13844
  • Hiroki Ouchi, Hiroyuki Shindo, Shoko Wakamiya, Yuki Matsuda 0001, Naoya Inoue, Shohei Higashiyama, Satoshi Nakamura 0001, Taro Watanabe. Arukikata Travelogue Dataset. CoRR. 2023. abs/2305.11444
  • Shoichi Naitoh, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui. TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. CoRR. 2022. abs/2201.06674
more...
MISC (30):
  • 関根聡, 安藤まや, 後藤美知子, 鈴木久美, 河原大輔, 河原大輔, 井之上直也, 井之上直也, 乾健太郎, 乾健太郎, et al. ichikara-instruction LLMのための日本語インストラクションデータの作成. 言語処理学会年次大会発表論文集(Web). 2024. 30th
  • 乾健太郎, 乾健太郎, 石井雄隆, 石井雄隆, 松林優一郎, 松林優一郎, 井之上直也, 井之上直也, 内藤昭一, 内藤昭一, et al. Frontiers in Explainable Automated Writing Evaluation. Fundamentals Review (Web). 2023. 16. 4
  • 大竹孝樹, 横井祥, 横井祥, 井之上直也, 井之上直也, 高橋諒, 高橋諒, 栗林樹生, 栗林樹生, 乾健太郎, et al. 物語におけるイベントの顕現性推定と物語類似性計算への応用. 言語処理学会年次大会発表論文集(Web). 2021. 27th
  • 大竹孝樹, 横井祥, 横井祥, 井之上直也, 井之上直也, 高橋諒, 高橋諒, 栗林樹生, 栗林樹生, 乾健太郎, et al. 言語モデルによる物語中のイベントの顕現性推定. 言語処理学会年次大会発表論文集(Web). 2020. 26th
  • 井之上直也. 「コモンセンス」言語データからの知識獲得と言語処理への応用. 人工知能. 2018. 33. 3. 337-344
more...
Patents (2):
Professional career (3):
  • Master (Engineering) (Nara Institute of Science and Technology)
  • PhD (Information Science) (Tohoku University)
  • Bachelor (Economics) (Musashi University)
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