@inproceedings{yamamoto-etal-2025-writer,
    title = "Did the Writer Actually Visit the Location? Analysis of Location Reviews from Visit Experience",
    author = "Yamamoto, Aitaro  and
      Ouchi, Hiroki  and
      Tsubouchi, Kota  and
      Yamashita, Tatsuo  and
      Tsujimoto, Ryo  and
      Matsuda, Yuki  and
      Suwa, Hirohiko",
    editor = "Inui, Kentaro  and
      Sakti, Sakriani  and
      Wang, Haofen  and
      Wong, Derek F.  and
      Bhattacharyya, Pushpak  and
      Banerjee, Biplab  and
      Ekbal, Asif  and
      Chakraborty, Tanmoy  and
      Singh, Dhirendra Pratap",
    booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
    month = dec,
    year = "2025",
    address = "Mumbai, India",
    publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.findings-ijcnlp.82/",
    pages = "1331--1337",
    ISBN = "979-8-89176-303-6",
    abstract = "We investigate the characteristics of location review texts written on the basis of actual visit experiences or without any visit experiences. Specifically, we formalize this as a binary classification task and propose a data construction framework that labels reviews as Visit or NotVisit by linking them with users' GPS-based movement data. We train a logistic regression model on the dataset and evaluate it alongside human annotators and a large language model (LLM). The results show that the task is more challenging for humans and LLMs than for the simple trained model."
}