Topical-Chat: Towards knowledge-grounded open-domain conversations
Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artiﬁcial intelligence (AI). To this end, bots need to be able to leverage world knowledge spanning several domains effectively when conversing with humans who have their own world knowledge. Existing knowledge-grounded conversation datasets are primarily stylized with explicit roles for conversation partners. These datasets also do not explore depth or breadth of topical coverage with transitions in conversations. We introduce Topical-Chat, a knowledge-grounded human-human conversation dataset where the underlying knowledge spans 8 broad topics and conversation partners don’t have explicitly deﬁned roles, to help further research in opendomain conversational AI. We also train several state-of-the-art encoder-decoder conversational models onTopical-Chat and perform automated and human evaluation for benchmarking.