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Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
March 27, 2024, 4:42 a.m. | Connor Pryor, Quan Yuan, Jeremiah Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
cs.LG updates on arXiv.org arxiv.org
Abstract: Dialog Structure Induction (DSI) is the task of inferring the latent dialog structure (i.e., a set of dialog states and their temporal transitions) of a given goal-oriented dialog. It is a critical component for modern dialog system design and discourse analysis. Existing DSI approaches are often purely data-driven, deploy models that infer latent states without access to domain knowledge, underperform when the training corpus is limited/noisy, or have difficulty when test dialogs exhibit distributional shifts …
abstract analysis arxiv cs.cl cs.lg design dialog discourse domain domain knowledge guide knowledge logic modern set temporal transitions type via
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