Conversations in the Crowd: Collecting Data for Task-Oriented Dialog Learning
Conversations in the Crowd: Collecting Data for Task-Oriented Dialog Learning
复制标题
人群中的对话：收集数据以进行面向任务的对话学习
DOI：
10.1609/hcomp.v1i1.13092
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
D. Bohus
中科院分区：
文献类型：
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作者：
Walter S. Lasecki;Ece Kamar;D. Bohus
A major challenge in developing dialog systems is obtaining realistic data to train the systems for specific domains. We study the opportunity for using crowdsourcing methods to collect dialog datasets. Specifically, we introduce ChatCollect, a system that allows researchers to collect conversations focused around definable tasks from pairs of workers in the crowd. We demonstrate that varied and in-depth dialogs can be collected using this system, then discuss ongoing work on creating a crowd-powered system for parsing semantic frames. We then discuss research opportunities in using this approach to train and improve automated dialog systems in the future.
