@inproceedings{walker-2025-knowledge,
    title = "Knowledge Graphs and Representational Models for Dialogue Systems",
    author = "Walker, Nicholas Thomas",
    editor = "Whetten, Ryan  and
      Sucal, Virgile  and
      Ngo, Anh  and
      Chalamalasetti, Kranti  and
      Inoue, Koji  and
      Cimino, Gaetano  and
      Yang, Zachary  and
      Zenimoto, Yuki  and
      Rodriguez, Ricardo",
    booktitle = "Proceedings of the 21st Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
    month = aug,
    year = "2025",
    address = "Avignon, France",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.yrrsds-1.9/",
    pages = "25--26",
    abstract = "I am interested graph-based dialogue management for dialogue systems, specifically the use of knowledge- graphs. Representations of knowledge combining in- formation about the world with dialogue or user-specific information, such as personal knowledge graphs (Balog and Kenter, 2019) are of particular interest to me. Knowl- edge graphs have the flexibility to represent diverse in- formation such as dialogue specific information, gen- eral world knowledge, and even situated knowledge in the case of embodied dialogue systems. Much of my previous work has investigated knowledge graphs in an HRI context that combined these attributes (Walker et al., 2022b)."
}