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The third version of the open-domain dialogue system Alquist developed withinthe Alexa Prize 2020 competition is designed to conduct coherent and engagingconversations on popular topics. The main novel contribution is theintroduction of a system leveraging an innovative approach based on aconversational knowledge graph and adjacency pairs. The conversationalknowledge graph allows the system to utilize knowledge expressed during thedialogue in consequent turns and across conversations. Dialogue adjacency pairsdivide the conversation into small conversational structures, which can becombined and allow the system to react to a wide range of user inputs flexibly.  We discuss and describe Alquist's pipeline, data acquisition and processing,dialogue manager, NLG, knowledge aggregation, and a hierarchy of adjacencypairs. We present the experimental results of the individual parts of thesystem.

Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph