An Empirical Study of Topic Transition in Dialogue
원문 초록
Transitioning between topics is a natural component of human-human dialog. Although topic transition has been studied in dialogue for decades, only a handful of corpora based studies have been performed to investigate the subtleties of topic transitions. Thus, this study annotates 215 conversations from the switchboard corpus and investigates how variables such as length, number of topic transitions, topic transitions share by participants and turns/topic are related. This work presents an empirical study on topic transition in switchboard corpus followed by modelling topic transition with a precision of 83% for in-domain(id) test set and 82% on 10 out-of-domain}(ood) test set. It is envisioned that this work will help in emulating human-human like topic transition in open-domain dialog systems.
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An Empirical Study on Context Length for Open-Domain Dialog Generation
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Open-Domain Dialog Evaluation using Follow-Ups Likelihood
Re2G: Retrieve, Rerank, Generate
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
토론
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