@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://aclanthology.org/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: {\mbox{$\bullet$}} Annotation schema for spoken TODs, {\mbox{$\bullet$}} Integration of dialogue history for contextually coherent predictions.},
}
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<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-Tür, 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: \bullet Annotation schema for spoken TODs, \bullet Integration of dialogue history for contextually coherent predictions.</abstract>
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%0 Conference Proceedings
%T A Perspective on Anchoring and Dialogue History Propagation for Smoother Interactions with Spoken Task-Oriented Dialogue Systems
%A Druart, Lucas
%Y Hudecek, Vojtech
%Y Schmidtova, Patricia
%Y Dinkar, Tanvi
%Y Chiyah-Garcia, Javier
%Y Sieinska, Weronika
%S Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F druart-2023-perspective
%X 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-Tür, 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: \bullet Annotation schema for spoken TODs, \bullet Integration of dialogue history for contextually coherent predictions.
%U https://aclanthology.org/2023.yrrsds-1.13
%P 37-39
Markdown (Informal)
[A Perspective on Anchoring and Dialogue History Propagation for Smoother Interactions with Spoken Task-Oriented Dialogue Systems](https://aclanthology.org/2023.yrrsds-1.13) (Druart, YRRSDS-WS 2023)
ACL