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Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems. (arXiv:2204.07135v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Skill routing is an important component in large-scale conversational
systems. In contrast to traditional rule-based skill routing, state-of-the-art
systems use a model-based approach to enable natural conversations. To provide
supervision signal required to train such models, ideas such as human
annotation, replication of a rule-based system, relabeling based on user
paraphrases, and bandit-based learning were suggested. However, these
approaches: (a) do not scale in terms of the number of skills and skill
on-boarding, (b) require a very costly expert annotation/rule-design, …
ai ai systems arxiv conversational conversational ai learning routing scalable scale systems