Dialog System Technology Challenge 7
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Abstract (arXiv)
This paper introduces the Seventh Dialog System Technology Challenges (DSTC), which use shared datasets to explore the problem of building dialog systems. Recently, end-to-end dialog modeling approaches have been applied to various dialog tasks. The seventh DSTC (DSTC7) focuses on developing technologies related to end-to-end dialog systems for (1) sentence selection, (2) sentence generation and (3) audio visual scene aware dialog. This paper summarizes the overall setup and results of DSTC7, including detailed descriptions of the different tracks and provided datasets. We also describe overall trends in the submitted systems and the key results. Each track introduced new datasets and participants achieved impressive results using state-of-the-art end-to-end technologies.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jan 2019.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 0; 2024: 4.
11 papers.
- 2021RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Modelscited by 149
- 2022GODEL: Large-Scale Pre-Training for Goal-Directed Dialogcited by 50
- 2024Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Artcited by 17
- 2022Video Dialog as Conversation about Objects Living in Space-Timecited by 11
- 2021Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularizationcited by 5
- 2024Multi-Modal Video Dialog State Tracking in the Wildcited by 3
- 2021C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialoguescited by 2
- 2024Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrievalcited by 2
- 2022Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systemscited by 1
- 2024Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Surveycited by 1
- 2021Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERTcited by 0
- 2024Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey14 Nov 2024
- 2024Multi-Modal Video Dialog State Tracking in the Wild2 Jul 2024
- 2024Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval21 May 2024
- 2024Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art25 Mar 2024
- 2022Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems19 Dec 2022
- 2022Video Dialog as Conversation about Objects Living in Space-Time8 Jul 2022
- 2022GODEL: Large-Scale Pre-Training for Goal-Directed Dialog22 Jun 2022
- 2021Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization3 Aug 2021
- 2021C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues16 Jun 2021
- 2021RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models7 Jun 2021
- 2021Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT27 May 2021