In this episode, we discussed the Alexa Prize Socialbot Grand Challenge and this year's winning submission, Alquist 4.0, with Petr Marek, a member of the winning team. Petr gave us an overview of their submission, the design choices that led to them winning the competition, including combining a hardcoded dialog tree and a neural generator model and extracting implicit personal information about users from their responses, and some outstanding challenges.

Petr Marek is a PhD student at the Czech Technical University in Prague.

More about the Alexa Prize challenges: https://developer.amazon.com/alexaprize

Technical report on Alquist 4.0: https://arxiv.org/abs/2109.07968

132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek

NLP Highlights