@inproceedings{krzyminski-2023-take,
    title = "Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on {DSTC} 11 Track 2",
    author = "Krzymi{\'n}ski, Miko{\l}aj",
    editor = "Hudecek, Vojtech  and
      Schmidtova, Patricia  and
      Dinkar, Tanvi  and
      Chiyah-Garcia, Javier  and
      Sieinska, Weronika",
    booktitle = "Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2023.yrrsds-1.17/",
    pages = "47--48",
    abstract = "A brief introduction to author{'}s keyinterests and research topics which are: multimodal dialogue systems and impact of data augmentation to NLU performance. In addition to that the author shares his biography and view on the future of dialogue assistants."
}