mlsanityData to 14 Oct 2026

Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems

arXiv 1704.00057 ↗First posted 31 Mar 2017cs.CLcited by 85

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Abstract (arXiv)

This paper presents the Frames dataset (Frames is available at http://datasets.maluuba.com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per dialogue. We developed this dataset to study the role of memory in goal-oriented dialogue systems. Based on Frames, we introduce a task called frame tracking, which extends state tracking to a setting where several states are tracked simultaneously. We propose a baseline model for this task. We show that Frames can also be used to study memory in dialogue management and information presentation through natural language generation.

Key facts. Cited by 85 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Mar 2017.

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Citing papers per year: 2021: 23; 2022: 24; 2023: 15; 2024: 13; 2025: 3; 2026: 7.

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  1. 2021Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue Systemcited by 139
  2. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  3. 2021KLUE: Korean Language Understanding Evaluationcited by 114
  4. 2021GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injectioncited by 102
  5. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  6. 2021MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluationcited by 88
  7. 2022Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agentscited by 62
  8. 2022Rethinking Explainability as a Dialogue: A Practitioner's Perspectivecited by 52
  9. 2022Neural Approaches to Conversational Information Retrievalcited by 42
  10. 2022Controllable Dialogue Simulation with In-Context Learningcited by 42
  11. 2022InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuningcited by 39
  12. 2022D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chatcited by 37
38 more
  1. 2022SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generationcited by 34
  2. 2021GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systemscited by 31
  3. 2021"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversationscited by 30
  4. 2022SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understandingcited by 28
  5. 2023DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIcited by 22
  6. 2024MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotationscited by 22
  7. 2021End-to-End Learning of Flowchart Grounded Task-Oriented Dialogscited by 20
  8. 2021ChainCQG: Flow-Aware Conversational Question Generationcited by 19
  9. 2021A Survey on Deep Reinforcement Learning for Audio-Based Applicationscited by 17
  10. 2022Learning Dialogue Representations from Consecutive Utterancescited by 17
  11. 2021NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulationcited by 16
  12. 2022MVP: Multi-task Supervised Pre-training for Natural Language Generationcited by 16
  13. 2023Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systemscited by 16
  14. 2021Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systemscited by 14
  15. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  16. 2021Telling Stories through Multi-User Dialogue by Modeling Character Relationscited by 13
  17. 2022A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slotscited by 13
  18. 2021TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversationscited by 11
  19. 2022ASSIST: Towards Label Noise-Robust Dialogue State Trackingcited by 11
  20. 2021Situated Dialogue Learning through Procedural Environment Generationcited by 9
  21. 2022An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasetscited by 8
  22. 2022NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialoguecited by 8
  23. 2024Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extractioncited by 8
  24. 2024LUCID: LLM-Generated Utterances for Complex and Interesting Dialoguescited by 7
  25. 2024RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Educationcited by 7
  26. 2025Evaluating, Synthesizing, and Enhancing for Customer Support Conversationcited by 7
  27. 2025WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflectioncited by 7
  28. 2021HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Managementcited by 6
  29. 2024Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Modelscited by 6
  30. 2023NatCS: Eliciting Natural Customer Support Dialoguescited by 5
  31. 2023May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainabilitycited by 5
  32. 2021Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Taskscited by 4
  33. 2022Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Datasetcited by 4
  34. 2023Psychological Metrics for Dialog System Evaluationcited by 4
  35. 2023A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systemscited by 4
  36. 2023Dialogue Quality and Emotion Annotations for Customer Support Conversationscited by 4
  37. 2023OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue Systemcited by 4
  38. 2024Exploring Conversational Agents as an Effective Tool for Measuring Cognitive Biases in Decision-Makingcited by 4

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