@inproceedings{feng-2023-modelling,
    title = "Modelling Emotions in Task-Oriented Dialogue",
    author = "Feng, Shutong",
    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/fix-sig-urls/2023.yrrsds-1.20/",
    pages = "54--56",
    abstract = "My research interests lie in the area of modelling natural and human-like conversations, with a special focus on emotions in task-oriented dialogue (ToD) systems. ToD systems need to produce semantically and grammatically correct responses to fulfil the user{'}s goal. Being able to perceive and express emotions pushes them one more step towards achieving human-likeness. To begin with, I constructed a dataset with meaningful emotion labels as well as a wide coverage of emotions and linguistic features in ToDs. Then, I improved emotion recognition in conversations (ERC) in the task-oriented domain by exploiting key characteristics of ToDs. Currently, I am working towards enhancing ToD systems with emotions."
}