no code implementations • 16 May 2024 • Ruolin Su, Biing-Hwang Juang
Task-oriented dialogue systems are broadly used in virtual assistants and other automated services, providing interfaces between users and machines to facilitate specific tasks.
no code implementations • 10 Nov 2023 • Ruolin Su, Ting-Wei Wu, Biing-Hwang Juang
Tracking dialogue states is an essential topic in task-oriented dialogue systems, which involve filling in the necessary information in pre-defined slots corresponding to a schema.
1 code implementation • 25 Feb 2023 • Ruolin Su, Jingfeng Yang, Ting-Wei Wu, Biing-Hwang Juang
With the demanding need for deploying dialogue systems in new domains with less cost, zero-shot dialogue state tracking (DST), which tracks user's requirements in task-oriented dialogues without training on desired domains, draws attention increasingly.
1 code implementation • 4 Aug 2022 • Ruolin Su, Ting-Wei Wu, Biing-Hwang Juang
As an essential component in task-oriented dialogue systems, dialogue state tracking (DST) aims to track human-machine interactions and generate state representations for managing the dialogue.
no code implementations • 23 Feb 2022 • Ting-Wei Wu, Biing-Hwang Juang
Modern spoken language understanding (SLU) systems rely on sophisticated semantic notions revealed in single utterances to detect intents and slots.
1 code implementation • 3 Sep 2021 • Ting-Wei Wu, Ruolin Su, Biing-Hwang Juang
The success of interactive dialog systems is usually associated with the quality of the spoken language understanding (SLU) task, which mainly identifies the corresponding dialog acts and slot values in each turn.
1 code implementation • 18 Jun 2020 • Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li, Biing-Hwang Juang
To justify the performance of semantic communications accurately, we also initialize a new metric, named sentence similarity.