mlsanityData to 7 Oct 2026

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

arXiv 2010.02693 ↗First posted 6 Oct 2020cs.CL cs.AI cs.LGcited by 42

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Abstract (arXiv)

Slot filling and intent detection are two main tasks in spoken language understanding (SLU) system. In this paper, we propose a novel non-autoregressive model named SlotRefine for joint intent detection and slot filling. Besides, we design a novel two-pass iteration mechanism to handle the uncoordinated slots problem caused by conditional independence of non-autoregressive model. Experiments demonstrate that our model significantly outperforms previous models in slot filling task, while considerably speeding up the decoding (up to X 10.77). In-depth analyses show that 1) pretraining schemes could further enhance our model; 2) two-pass mechanism indeed remedy the uncoordinated slots.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 14; 2023: 12; 2024: 4; 2025: 2; 2026: 1.

42 papers.

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  1. 2022A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyondcited by 64
  2. 2021GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Fillingcited by 33
  3. 2025A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Modelscited by 27
  4. 2023CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Taskscited by 18
  5. 2022Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysiscited by 16
  6. 2024WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledgecited by 16
  7. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  8. 2022Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphscited by 14
  9. 2021Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Fillingcited by 13
  10. 2021The USYD-JD Speech Translation System for IWSLT 2021cited by 11
  11. 2023Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUEcited by 11
  12. 2022Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Fillingcited by 10
30 more
  1. 2023Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Trackingcited by 10
  2. 2021Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understandingcited by 9
  3. 2021Self-Guided Curriculum Learning for Neural Machine Translationcited by 9
  4. 2022NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialoguecited by 8
  5. 2023Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Promptingcited by 8
  6. 2023Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understandingcited by 7
  7. 2021Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Fillingcited by 6
  8. 2026The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Checkcited by 6
  9. 2021An Effective Non-Autoregressive Model for Spoken Language Understandingcited by 5
  10. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5
  11. 2023Prompt-Learning for Cross-Lingual Relation Extractioncited by 4
  12. 2023Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learningcited by 4
  13. 2025Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Miningcited by 4
  14. 2022Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understandingcited by 3
  15. 2022A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devicescited by 3
  16. 2022A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understandingcited by 3
  17. 2023Task Conditioned BERT for Joint Intent Detection and Slot-fillingcited by 3
  18. 2022Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understandingcited by 2
  19. 2022Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversationscited by 2
  20. 2023OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML Systemcited by 2
  21. 2023Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Fillingcited by 2
  22. 2023Co-guiding for Multi-intent Spoken Language Understandingcited by 2
  23. 2024A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLUcited by 2
  24. 2021A Joint and Domain-Adaptive Approach to Spoken Language Understandingcited by 1
  25. 2023Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddingscited by 1
  26. 2022Requirements Elicitation in Cognitive Service for Recommendationcited by 0
  27. 2022Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERTcited by 0
  28. 2022Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Fillingcited by 0
  29. 2024HC2L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understandingcited by 0
  30. 2024Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learningcited by 0