# Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models

arXiv: https://arxiv.org/abs/2011.03259 · HTML: https://mlsanity.com/paper/2011.03259/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Nov 2020.

## Built on by (most cited first, 3 of 3)

- [Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization](https://mlsanity.com/paper/2109.07968/) (2021)
- [Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot](https://mlsanity.com/paper/2111.02519/) (2021)
- [One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots](https://mlsanity.com/paper/2112.08261/) (2021)

## 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.