mlsanityData to 14 Oct 2026

A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

arXiv 1907.00390 ↗First posted 30 Jun 2019cs.CL cs.AI eess.AScited by 85

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Abstract (arXiv)

A spoken language understanding (SLU) system includes two main tasks, slot filling (SF) and intent detection (ID). The joint model for the two tasks is becoming a tendency in SLU. But the bi-directional interrelated connections between the intent and slots are not established in the existing joint models. In this paper, we propose a novel bi-directional interrelated model for joint intent detection and slot filling. We introduce an SF-ID network to establish direct connections for the two tasks to help them promote each other mutually. Besides, we design an entirely new iteration mechanism inside the SF-ID network to enhance the bi-directional interrelated connections. The experimental results show that the relative improvement in the sentence-level semantic frame accuracy of our model is 3.79% and 5.42% on ATIS and Snips datasets, respectively, compared to the state-of-the-art model.

Key facts. Cited by 85 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Jun 2019.

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Citing papers per year: 2021: 29; 2022: 25; 2023: 19; 2024: 8; 2025: 2; 2026: 2.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2021A Survey on Spoken Language Understanding: Recent Advances and New Frontierscited by 53
  3. 2022DeepStruct: Pretraining of Language Models for Structure Predictioncited by 45
  4. 2021GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Fillingcited by 33
  5. 2021Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Fillingcited by 25
  6. 2021Intent Detection and Slot Filling for Vietnamesecited by 19
  7. 2021Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLUcited by 17
  8. 2022Learning Discriminative Representations and Decision Boundaries for Open Intent Detectioncited by 15
  9. 2022GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understandingcited by 14
  10. 2022Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphscited by 14
  11. 2021Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Fillingcited by 13
  12. 2021Lifelong Intent Detection via Multi-Strategy Rebalancingcited by 12
38 more
  1. 2021Joint Multiple Intent Detection and Slot Filling via Self-distillationcited by 12
  2. 2022Workflow Discovery from Dialogues in the Low Data Regimecited by 12
  3. 2021Towards Joint Intent Detection and Slot Filling via Higher-order Attentioncited by 11
  4. 2023ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarioscited by 11
  5. 2021SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Fillingcited by 10
  6. 2022Generalized Intent Discovery: Learning from Open World Dialogue Systemcited by 10
  7. 2022Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Fillingcited by 10
  8. 2021Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsingcited by 9
  9. 2022UniDU: Towards A Unified Generative Dialogue Understanding Frameworkcited by 9
  10. 2022PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Fillingcited by 9
  11. 2022A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understandingcited by 9
  12. 2021Text is no more Enough! A Benchmark for Profile-based Spoken Language Understandingcited by 7
  13. 2023Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understandingcited by 7
  14. 2023Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillationcited by 7
  15. 2023MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attentioncited by 7
  16. 2024ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intentcited by 7
  17. 2021Masked Conditional Random Fields for Sequence Labelingcited by 6
  18. 2021Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Fillingcited by 6
  19. 2023ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understandingcited by 6
  20. 2024A Survey of Ontology Expansion for Conversational Understandingcited by 6
  21. 2021An Effective Non-Autoregressive Model for Spoken Language Understandingcited by 5
  22. 2021A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detectioncited by 5
  23. 2022Learning to Classify Open Intent via Soft Labeling and Manifold Mixupcited by 5
  24. 2023TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Modelcited by 5
  25. 2023DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Taskcited by 5
  26. 2021Joint Intent Detection And Slot Filling Based on Continual Learning Modelcited by 4
  27. 2021A Result based Portable Framework for Spoken Language Understandingcited by 4
  28. 2021DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labelingcited by 4
  29. 2022Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agentcited by 4
  30. 2023Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learningcited by 4
  31. 2021LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Networkcited by 3
  32. 2022A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devicescited by 3
  33. 2022A Unified Framework for Multi-intent Spoken Language Understanding with promptingcited by 3
  34. 2022Learning Better Intent Representations for Financial Open Intent Classificationcited by 3
  35. 2022A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understandingcited by 3
  36. 2023Towards Detecting Harmful Agendas in News Articlescited by 3
  37. 2023Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheticited by 3
  38. 2024CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understandingcited by 3

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