Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events.
Our new dialogue specification language (DSL) enables customers to more easily participate in the VPA modeling process due to a user-friendly modeling framework.
This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018.
We propose the Conversation Graph (ConvGraph), a graph-based representation of dialogues that can be exploited for data augmentation, multi-reference training and evaluation of non-deterministic agents.
Most research on disease diagnosis dialogue systems highly rely on data-driven methods and statistical features, lacking profound comprehension of symptom-disease relations and symptom-symptom relations.
Dialogue level quality estimation is vital for optimizing data driven dialogue management.
To the best of our knowledge, this is the first effort to optimize the DST module within DRL framework for on-line task-oriented spoken dialogue systems.