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Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. (arXiv:2210.10369v2 [cs.CL] UPDATED)
Nov. 8, 2022, 2:16 a.m. | Bowen Xing, Ivor W. Tsang
cs.CL updates on arXiv.org arxiv.org
Recent joint multiple intent detection and slot filling models employ label
embeddings to achieve the semantics-label interactions. However, they treat all
labels and label embeddings as uncorrelated individuals, ignoring the
dependencies among them. Besides, they conduct the decoding for the two tasks
independently, without leveraging the correlations between them. Therefore, in
this paper, we first construct a Heterogeneous Label Graph (HLG) containing two
kinds of topologies: (1) statistical dependencies based on labels'
co-occurrence patterns and hierarchies in slot labels; (2) …
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