Papers › Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot...
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
Mengxiao Song, Bowen Yu, Li Quangang, Wang Yubin, Tingwen Liu, Hongbo Xu
Multi-intent detection and slot filling joint model attracts more and more attention since it can handle multi-intent utterances, which is closer to complex real-world scenarios. Most existing joint models rely entirely on the training procedure to obtain the implicit correlation between intents and slots. However, they ignore the fact that leveraging the rich global knowledge in the corpus can determine the intuitive and explicit correlation between intents and slots. In this paper, we aim to make full use of the statistical co-occurrence frequency between intents and slots as prior knowledge to enhance joint multiple intent detection and slot filling. To be specific, an intent-slot co-occurrence graph is constructed based on the entire training corpus to globally discover correlation between intents and slots. Based on the global intent-slot co-occurrence, we propose a novel graph neural network to model the interaction between the two subtasks. Experimental results on two public multi-intent datasets demonstrate that our approach outperforms the state-of-the-art models.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Intent Detection | MixATIS | Global Intent-Slot Co-occurence | Accuracy | 75.0 | #14 of 15 | Archive leaderboard | report |
| Intent Detection | MixSNIPS | Global Intent-Slot Co-occurence | Accuracy | 95.5 | #16 of 16 | Archive leaderboard | report |
| Slot Filling | MixATIS | Global Intent-Slot Co-occurence | Micro F1 | 88.5 | #8 of 15 | Archive leaderboard | report |
| Slot Filling | MixSNIPS | Global Intent-Slot Co-occurence | Micro F1 | 95.0 | #12 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections