@inproceedings{lee-2024-leveraging,
    title = "Leveraging Linguistic Structural Information for Improving the Model{'}s Semantic Understanding Ability",
    author = "Lee, Sangmyeong",
    editor = "Inoue, Koji  and
      Fu, Yahui  and
      Axelsson, Agnes  and
      Ohashi, Atsumoto  and
      Madureira, Brielen  and
      Zenimoto, Yuki  and
      Mohapatra, Biswesh  and
      Stricker, Armand  and
      Khosla, Sopan",
    booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
    month = sep,
    year = "2024",
    address = "Kyoto, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.yrrsds-1.25/",
    doi = "10.18653/v1/2024.yrrsds-1.25",
    pages = "68--69",
    abstract = "This position paper describes research interests of the author (semantic structure comprehension in multimodal dialogue environments), his point of view on Spoken Dialogue System research that a new wave is to be carried out for coexistence with LLMs, and discussion topic proposals. Those three topics are as follows: 1) How to keep up with, or manipulate LLM for academia research, 2) How representational languages for semantic structural information could be used in this new era, and 3) how to deal with disambiguating the user{'}s language during the actual dialogue scenario."
}