no code implementations • SIGDIAL (ACL) 2022 • Svetlana Stoyanchev, Suraj Pandey, Simon Keizer, Norbert Braunschweiler, Rama Sanand Doddipatla
Based on objective metrics and subjective user ratings, we demonstrate the feasibility of using an unsupervised low latency approach to extend a schema-driven search dialogue system to handle unconstrained user preferences.
no code implementations • 21 Sep 2023 • Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev
Observing that document-grounded response generation via LLMs cannot be adequately assessed by automatic evaluation metrics as they are significantly more verbose, we perform a human evaluation where annotators rate the output of the shared task winning system, the two Chat-GPT variants outputs, and human responses.
no code implementations • 1 Jun 2023 • Simon Keizer, Caroline Dockes, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla
Reinforcement learning based dialogue policies are typically trained in interaction with a user simulator.
no code implementations • 14 Apr 2022 • Simon Keizer, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla
A major bottleneck for building statistical spoken dialogue systems for new domains and applications is the need for large amounts of training data.
no code implementations • 10 Jan 2022 • Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev
Models trained on mixed corpora can be more stable in mismatched contexts, and the performance reductions range from 1 to 8% when compared with single corpus models in matched conditions.