mlsanityData to 7 Oct 2026

Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture

arXiv 1812.01260 ↗First posted 4 Dec 2018cs.CL cs.AIcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Dec 2018.

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5 papers.