Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

Autor:	Kim, Seokhwan, Eric, Mihail, Gopalakrishnan, Karthik, Hedayatnia, Behnam, Liu, Yang, Hakkani-Tur, Dilek
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: To be presented at SIGDIAL 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.03533 Zobrazit plný text záznamu View this record from Arxiv