(2026.09.03) Accepted at EMNLP 2026

Last updated on Sep 3, 2026

Happy to share that our three papers have been accepted at the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).

  • Daisuke Maekawa, Kazumasa Omura, Sora Tarumoto, Shotaro Ishihara, and Tomoyuki Kajiwara (2026). Subjective and Hierarchical Annotation of Text Difficulty in Japanese. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).
  • Kazuma Iwamoto, Kazumasa Omura, and Shotaro Ishihara (2026). An Empirical Analysis of Factual Errors in Human-Written Text and Its Application to Factual Error Detection. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) (Findings). [ arXiv ]
  • Tomoaki Yasuda and Shotaro Ishihara (2026). Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented Applications. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) (Industry Track).
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