Data-Driven Methods for Adaptive Spoken Dialogue Systems

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Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions (2020, background): “Human Evaluations Goal-oriented dialogue systems often have clear evaluation methodologies, e.g. task completion can be measured if the correct actions are taken (Hastie, 2012; Henderson, Thomson, and Williams, 2014; Bordes, Boureau, and Weston, 2017; El Asri et al., 2017; Wen et al., 2017).”
ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons (2019, background): “Goal-oriented tasks typically have a clearer evaluation, e.g. task completion can be measured if the correct actions are taken (Hastie 2012; Henderson, Thomson, and Williams 2014; Bordes, Boureau, and Weston 2017; El Asri et al. 2017; Wen et al. 2017).”
Learning Domain-Independent Dialogue Policies via Ontology Parameterisation (2015, background): “Statistical approaches to Spoken Dialogue Systems (SDS), particularly, Partially Observable Markov Decision Processes (POMDPs) (Young et al., 2013), have demonstrated great success in improving the robustness of dialogue policies to error-prone Automatic Speech Recognition (ASR).”