Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
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Abstract (arXiv)
This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018. We introduce a system leveraging ontology-based topic structure called topic nodes. Each of the nodes consists of several sub-dialogues, and each sub-dialogue has its own LSTM-based model for dialogue management. The sub-dialogues can be triggered according to the topic hierarchy or a user intent which allows the bot to create a unique experience during each session.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Nov 2020.
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Citing papers per year: 2021: 3.
3 papers.
- 2021Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalizationcited by 9
- 2021Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBotcited by 4
- 2021One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbotscited by 2
- 2021One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots15 Dec 2021
- 2021Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot3 Nov 2021
- 2021Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization16 Sep 2021