mlsanityData to 14 Oct 2026

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management

arXiv 2105.06041 ↗First posted 13 May 2021cs.CLcited by 6

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Abstract (arXiv)

Task-oriented dialog (TOD) systems typically manage structured knowledge (e.g. ontologies and databases) to guide the goal-oriented conversations. However, they fall short of handling dialog turns grounded on unstructured knowledge (e.g. reviews and documents). In this paper, we formulate a task of modeling TOD grounded on both structured and unstructured knowledge. To address this task, we propose a TOD system with hybrid knowledge management, HyKnow. It extends the belief state to manage both structured and unstructured knowledge, and is the first end-to-end model that jointly optimizes dialog modeling grounded on these two kinds of knowledge. We conduct experiments on the modified version of MultiWOZ 2.1 dataset, where dialogs are grounded on hybrid knowledge. Experimental results show that HyKnow has strong end-to-end performance compared to existing TOD systems. It also outperforms the pipeline knowledge management schemes, with higher unstructured knowledge retrieval accuracy.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 24 of its 36 references that are in the map. First posted on arXiv 13 May 2021.

Builds on

24 of 36 references.

References · 24

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12 more
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Citing papers per year: 2021: 1; 2022: 4; 2023: 1.

6 papers.