@inproceedings{druart-2023-perspective,
    title = "A Perspective on Anchoring and Dialogue History Propagation for Smoother Interactions with Spoken Task-Oriented Dialogue Systems",
    author = "Druart, Lucas",
    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/jlcl-multiple-ingestion/2023.yrrsds-1.13/",
    pages = "37--39",
    abstract = {Task-Oriented Dialogue (TOD) systems provide interactive assistance to a user in order to accomplish a specific task such as making a reservation at a restaurant or booking a room in a hotel. Speech presents itself as a natural interface for TOD systems. A typical approach to implement them is to use a modular architecture (Gao et al., 2018). A core component of such dialogue systems is Spoken Language Understanding (SLU) whose goal is to extract the relevant information from the user`s utterances. While spoken dialogue was the focus of earlier work (Williams et al., 2013; Henderson et al., 2014), recent work has focused on text inputs with no regard for the specificities of spoken language (Wu et al., 2019; Heck et al., 2020; Feng et al., 2021). However, this approach fails to account for the differences between written and spoken language (Faruqui and Hakkani-T{\"u}r, 2022) such as disfluencies. My research focuses on Spoken Language Understanding in the context of Task-Oriented Dialogue. More specifically I am interested in the two following research directions: {\textbullet} Annotation schema for spoken TODs, {\textbullet} Integration of dialogue history for contextually coherent predictions.}
}