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.
翻译:不同专题之间的过渡是人与人对话的自然组成部分。 虽然在对话中已经研究了数十年,但只有为数不多的一些基于公司的研究是为了调查专题过渡的微妙性。 因此,本研究报告从总机的文体中注明了215次对话,并调查了诸如长度、专题过渡次数、参与者分担的专题过渡和转折/专题等变量是如何相互关联的。 这份工作介绍了关于总机中专题过渡的经验性研究,随后是模拟专题过渡,精确度为83%用于设定的内部(id)测试,82%用于设定的10项外部(ood)测试。预计这项工作将有助于在开放式对话系统中模拟诸如专题过渡这样的人类-人之间专题过渡。