Combining Open Domain Question Answering with a Task-Oriented Dialog System

Jan Nehring, Nils Feldhus, Harleen Kaur, Akhyar Ahmed

In: Song Feng , Siva Reddy , Malihe Alikhani , He He , Yangfeng Ji , Mohit Iyyer , Zhou Yu (editor). Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021). Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc-2021) located at ACL 2021 August 5-5 Online Thailand Pages 38-45 Association for Computational Linguistics 2021.


We apply the modular dialog system framework to combine open-domain question answering with a task-oriented dialog system. This meta dialog system can answer questions from Wikipedia and at the same time act as a personal assistant. The aim of this system is to combine the strength of an open-domain question answering system with the conversational power of task-oriented dialog systems. After explaining the technical details of the system, we combined a new dataset out of standard datasets to evaluate the system. We further introduce an evaluation method for this system. Using this method, we compare the performance of the non-modular system with the performance of the modular system and show that the modular dialog system framework is very suitable for this combination of conversational agents and that the performance of each agent decreases only marginally through the modular setting.


Weitere Links

2021.dialdoc-1.5.pdf (pdf, 225 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz