LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems

arXiv:2311.09390v2 Announce Type: replace
Abstract: Linguistic entrainment, or alignment, represents a phenomenon where linguistic patterns employed by conversational participants converge to one another. While entrainment has been shown to produce a more natural user experience, most dialogue systems do not have any provisions for it. In this work, we introduce methods for achieving dialogue entrainment in a GPT-2-based end-to-end task-oriented dialogue system through the utilization of shared vocabulary. We experiment with training instance weighting, entrainment-specific loss, and additional conditioning to …

abstract alignment arxiv converge conversational cs.cl dialogue experience natural patterns systems type work