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A Dataset for Document Grounded Conversations

arXiv 1809.07358 ↗First posted 19 Sep 2018cs.CLcited by 104

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Abstract (arXiv)

This paper introduces a document grounded dataset for text conversations. We define "Document Grounded Conversations" as conversations that are about the contents of a specified document. In this dataset the specified documents were Wikipedia articles about popular movies. The dataset contains 4112 conversations with an average of 21.43 turns per conversation. This positions this dataset to not only provide a relevant chat history while generating responses but also provide a source of information that the models could use. We describe two neural architectures that provide benchmark performance on the task of generating the next response. We also evaluate our models for engagement and fluency, and find that the information from the document helps in generating more engaging and fluent responses.

Key facts. Cited by 104 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Sep 2018.

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Citing papers per year: 2021: 24; 2022: 36; 2023: 21; 2024: 15; 2025: 6; 2026: 2.

104 papers.

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  1. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  2. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  3. 2021Internet-Augmented Dialogue Generationcited by 217
  4. 2022A Survey on Retrieval-Augmented Text Generationcited by 157
  5. 2022On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?cited by 137
  6. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  7. 2022FaithDial: A Faithful Benchmark for Information-Seeking Dialoguecited by 108
  8. 2023Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversationscited by 88
  9. 2022A Survey of Knowledge Enhanced Pre-trained Language Modelscited by 76
  10. 2021Evaluating Attribution in Dialogue Systems: The BEGIN Benchmarkcited by 75
  11. 2022MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversationcited by 56
  12. 2022Read before Generate! Faithful Long Form Question Answering with Machine Readingcited by 47
38 more
  1. 2021Grounding 'Grounding' in NLPcited by 44
  2. 2024Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversationcited by 40
  3. 2021Hindsight: Posterior-guided training of retrievers for improved open-ended generationcited by 38
  4. 2021NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversationcited by 35
  5. 2022SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generationcited by 34
  6. 2023Opportunities and Challenges in Neural Dialog Tutoringcited by 33
  7. 2021Reason first, then respond: Modular Generation for Knowledge-infused Dialoguecited by 32
  8. 2021Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representationcited by 32
  9. 2021Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledgecited by 30
  10. 2022HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Datacited by 28
  11. 2022SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understandingcited by 28
  12. 2022INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactionscited by 27
  13. 2021Focused Attention Improves Document-Grounded Generationcited by 24
  14. 2024Jill Watson: A Virtual Teaching Assistant powered by ChatGPTcited by 24
  15. 2021Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapterscited by 23
  16. 2021RetGen: A Joint framework for Retrieval and Grounded Text Generation Modelingcited by 22
  17. 2021Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identitycited by 22
  18. 2022Multi-Stage Prompting for Knowledgeable Dialogue Generationcited by 22
  19. 2024Adaptive Retrieval-Augmented Generation for Conversational Systemscited by 22
  20. 2021DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualizationcited by 21
  21. 2021Exploring Prompt-based Few-shot Learning for Grounded Dialog Generationcited by 20
  22. 2021A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generationcited by 19
  23. 2023Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignmentcited by 19
  24. 2021Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systemscited by 17
  25. 2022There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memorycited by 16
  26. 2022MVP: Multi-task Supervised Pre-training for Natural Language Generationcited by 16
  27. 2023Generative Knowledge Selection for Knowledge-Grounded Dialoguescited by 15
  28. 2024Improving Model Factuality with Fine-grained Critique-based Evaluatorcited by 15
  29. 2022PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentationcited by 14
  30. 2022Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphscited by 11
  31. 2023Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogscited by 11
  32. 2021Content Selection Network for Document-grounded Retrieval-based Chatbotscited by 10
  33. 2022Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversationcited by 10
  34. 2023SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentationcited by 10
  35. 2023Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4cited by 10
  36. 2022CALCS 2021 Shared Task: Machine Translation for Code-Switched Datacited by 9
  37. 2022TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledgecited by 9
  38. 2023textitDial BeInfo for Faithfulness: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuningcited by 9

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