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Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
论文
论文
发布时间2020-06-05
发表SIGDIAL (ACL) 2020 7 · arXiv:2006.03533
作者:Yang Liu,Dilek Hakkani-Tur,Behnam Hedayatnia,Mihail Eric,Karthik Gopalakrishnan,Seokhwan Kim
详细介绍
Most prior work on task-oriented dialogue systems are restricted to a limited coverage of domain APIs, while users oftentimes have domain related requests that are not covered by the APIs. In this paper, we propose to expand coverage of task-oriented dialogue systems by incorporating external unstructured knowledge sources. We define three sub-tasks: knowledge-seeking turn detection, knowledge selection, and knowledge-grounded response generation, which can be modeled individually or jointly. We introduce an augmented version of MultiWOZ 2.1, which includes new out-of-API-coverage turns and responses grounded on external knowledge sources. We present baselines for each sub-task using both conventional and neural approaches. Our experimental results demonstrate the need for further research in this direction to enable more informative conversational systems.
代码仓库 (2)
alexa/alexa-with-dstc9-track1-dataset官方PyTorch
para-zhou/dstc9-posttrainingPyTorch
