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Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey

arXiv 2011.00564 ↗First posted 1 Nov 2020cs.CLcited by 51

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Abstract (arXiv)

In recent years, fostered by deep learning technologies and by the high demand for conversational AI, various approaches have been proposed that address the capacity to elicit and understand user's needs in task-oriented dialogue systems. We focus on two core tasks, slot filling (SF) and intent classification (IC), and survey how neural-based models have rapidly evolved to address natural language understanding in dialogue systems. We introduce three neural architectures: independent model, which model SF and IC separately, joint models, which exploit the mutual benefit of the two tasks simultaneously, and transfer learning models, that scale the model to new domains. We discuss the current state of the research in SF and IC and highlight challenges that still require attention.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 9; 2023: 18; 2024: 8; 2025: 5; 2026: 5.

51 papers.

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  1. 2021A Survey on Spoken Language Understanding: Recent Advances and New Frontierscited by 53
  2. 2023DialogBench: Evaluating LLMs as Human-like Dialogue Systemscited by 31
  3. 2021Intent Detection and Slot Filling for Vietnamesecited by 19
  4. 2023End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directionscited by 17
  5. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  6. 2021RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsingcited by 15
  7. 2022TAGPRIME: A Unified Framework for Relational Structure Extractioncited by 15
  8. 2022Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunitiescited by 14
  9. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  10. 2023Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotationscited by 14
  11. 2024The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trendscited by 11
  12. 2022Improved and Efficient Conversational Slot Labeling through Question Answeringcited by 10
38 more
  1. 2023Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialoguescited by 7
  2. 2023MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attentioncited by 7
  3. 2023Exploring news intent and its application: A theory-driven approachcited by 7
  4. 2021Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Docited by 6
  5. 2024DEMO: Reframing Dialogue Interaction with Fine-grained Element Modelingcited by 6
  6. 2025ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewritingcited by 6
  7. 2023Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectivescited by 5
  8. 2023Boosting Few-Shot Text Classification via Distribution Estimationcited by 4
  9. 2023Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learningcited by 4
  10. 2024Towards a Zero-Data, Controllable, Adaptive Dialog Systemcited by 4
  11. 2024Domain Adaptation in Intent Classification Systems: A Reviewcited by 4
  12. 2023Towards a Neural Era in Dialogue Management for Collaboration: A Literature Surveycited by 3
  13. 2023Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheticited by 3
  14. 2025Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Studycited by 3
  15. 2021Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue Systemcited by 2
  16. 2022From Disfluency Detection to Intent Detection and Slot Fillingcited by 2
  17. 2022The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classificationcited by 2
  18. 2022Lexicon-injected Semantic Parsing for Task-Oriented Dialogcited by 2
  19. 2024PerSHOP -- A Persian dataset for shopping dialogue systems modelingcited by 2
  20. 2025Improving Language Models with Intentional Analysiscited by 2
  21. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  22. 2023Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddingscited by 1
  23. 2023Multilingual Few-Shot Learning via Language Model Retrievalcited by 1
  24. 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systemscited by 1
  25. 2025Measuring Intent Comprehension in LLMscited by 1
  26. 2026IntentGrasp: A Comprehensive Benchmark for Intent Understandingcited by 1
  27. 2022Requirements Elicitation in Cognitive Service for Recommendationcited by 0
  28. 2023Actively Discovering New Slots for Task-oriented Conversationcited by 0
  29. 2023LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modelingcited by 0
  30. 2023Creating Spoken Dialog Systems in Ultra-Low Resourced Settingscited by 0
  31. 2023TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Modelscited by 0
  32. 2024Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Callscited by 0
  33. 2024Evaluating Task-Oriented Dialogue Consistency through Constraint Satisfactioncited by 0
  34. 2024Exploring Description-Augmented Dataless Intent Classificationcited by 0
  35. 2025Multi-Intent Spoken Language Understanding: Methods, Trends, and Challengescited by 0
  36. 2026A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embeddingcited by 0
  37. 2026MoCA: Implicit Social Context Analysiscited by 0
  38. 2026Shape Your Feed: An LLM-based Agentic System for Conversational Recommendationcited by 0

50 most cited of 51 All 51 (JSON)