Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
Published in 2nd Proceedings of Alexa Prize (Alexa Prize 2018), 2018
This paper describes the Tartan conversational agent built for the 2018 Alexa Prize Competition. Tartan is a non-goal-oriented socialbot focused around providing users with an engaging and fluent casual conversation. Tartan’s key features include an emphasis on structured conversation based on flexible finite-state models and an approach focused on understanding and using conversational acts. To provide engaging conversations, Tartan blends script-like yet dynamic responses with data-based generative and retrieval models. Unique to Tartan is that our dialog manager is modeled as a dynamic Finite State Machine. To our knowledge, no other conversational agent implementation has followed this specific structure.
Recommended citation: @article{larionov2018tartan, title={Tartan: A Retrieval-Based Socialbot Powered by a Dynamic Finite-State Machine Architecture}, author={Larionov, George and Kaden, Zachary and Dureddy, Hima Varsha and Kalejaiye, Gabriel Bayomi T and Kale, Mihir and Potharaju, Srividya Pranavi and Shah, Ankit Parag and Rudnicky, Alexander I}, journal={arXiv preprint arXiv:1812.01260}, year={2018} }
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