Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph

• URL: http://arxiv.org/abs/2011.03261v1
• Date: Fri, 6 Nov 2020 10:10:02 GMT
• Title: Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph
• Authors: Jan Pichl, Petr Marek, Jakub Konr\'ad, Petr Lorenc, Van Duy Ta, and Jan \v{S}ediv\'y
• Abstract summary: We present the third version of the open-domain dialogue system Alquist developed within the Alexa Prize 2020 competition. The main novel contribution is the introduction of a system based on a conversational knowledge graph and adjacency pairs. We discuss and describe Alquist's pipeline, data acquisition and processing, dialogue manager, NLG, knowledge aggregation, and a hierarchy of adjacency pairs.
• Score: 0.9236074230806579
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The third version of the open-domain dialogue system Alquist developed within the Alexa Prize 2020 competition is designed to conduct coherent and engaging conversations on popular topics. The main novel contribution is the introduction of a system leveraging an innovative approach based on a conversational knowledge graph and adjacency pairs. The conversational knowledge graph allows the system to utilize knowledge expressed during the dialogue in consequent turns and across conversations. Dialogue adjacency pairs divide the conversation into small conversational structures, which can be combined 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 adjacency pairs. We present the experimental results of the individual parts of the system.

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