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Dec, 2022
DiSTRICT: 基于检索驱动的上下文调控的对话状态跟踪
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
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Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian
TL;DR
本文提出了一种名为DiSTRICT的基于有关上下文调整的DST的方法,通过检索与给定对话高度相关的训练示例,优化模型,相对于现有方法,使用较小的模型在各种零射和少样本设置下实现更好的性能,在资源不足的实际部署中提供了重要的优势
Abstract
dialogue state tracking
(DST), a key component of
task-oriented conversation systems
, represents user intentions by determining the values of pre-defined slots in an ongoing dialogue. Existing approaches use hand
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