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A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding

8 Nov 2022arXiv:2211.04023archive 2025-07-28

Zhihong Zhu, Weiyuan Xu, Xuxin Cheng, Tengtao Song, Yuexian Zou

Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios. However, existing approaches (1) focus on identifying implicit correlations between utterances and one-hot encoded labels in both tasks while ignoring explicit label characteristics; (2) directly incorporate multi-intent information for each token, which could lead to incorrect slot prediction due to the introduction of irrelevant intent. In this paper, we propose a framework termed DGIF, which first leverages the semantic information of labels to give the model additional signals and enriched priors. Then, a multi-grain interactive graph is constructed to model correlations between intents and slots. Specifically, we propose a novel approach to construct the interactive graph based on the injection of label semantics, which can automatically update the graph to better alleviate error propagation. Experimental results show that our framework significantly outperforms existing approaches, obtaining a relative improvement of 13.7% over the previous best model on the MixATIS dataset in overall accuracy.

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Tasks

Intent DetectionSemantic Frame ParsingSlot FillingSpoken Language Understandingslot-filling

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Intent Detection MixATIS DGIF Accuracy 83.3 #1 of 15 Archive leaderboard report
Intent Detection MixSNIPS DGIF Accuracy 97.8 #3 of 16 Archive leaderboard report
Slot Filling MixATIS DGIF Micro F1 88.5 #9 of 15 Archive leaderboard report
Slot Filling MixSNIPS DGIF Micro F1 95.9 #8 of 16 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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