Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
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Abstract (arXiv)
In this paper, we propose to leverage the unique characteristics of dialogues sharing commonsense knowledge across participants, to resolve the difficulties in summarizing them. We present SICK, a framework that uses commonsense inferences as additional context. Compared to previous work that solely relies on the input dialogue, SICK uses an external knowledge model to generate a rich set of commonsense inferences and selects the most probable one with a similarity-based selection method. Built upon SICK, SICK++ utilizes commonsense as supervision, where the task of generating commonsense inferences is added upon summarizing the dialogue in a multi-task learning setting. Experimental results show that with injected commonsense knowledge, our framework generates more informative and consistent summaries than existing methods.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 46 of its 64 references that are in the map. First posted on arXiv 2 Sep 2022.
Builds on
46 of 64 references.
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Citing papers per year: 2022: 1; 2023: 9; 2024: 2; 2025: 2.
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- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
- 2023OmniVec: Learning robust representations with cross modal sharingcited by 44
- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agentscited by 41
- 2025OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learningcited by 13
- 2023CRoW: Benchmarking Commonsense Reasoning in Real-World Taskscited by 8
- 2023Commonsense Reasoning for Conversational AI: A Survey of the State of the Artcited by 7
- 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarizationcited by 7
- 2025An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniquescited by 6
- 2024ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AIcited by 4
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
- 2024A Novel LLM-based Two-stage Summarization Approach for Long Dialoguescited by 3
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentencescited by 2
- 2025An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques7 Jul 2025
- 2025OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning6 Jul 2025
- 2024A Novel LLM-based Two-stage Summarization Approach for Long Dialogues9 Oct 2024
- 2024ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI27 Jan 2024
- 2023OmniVec: Learning robust representations with cross modal sharing7 Nov 2023
- 2023CASE: Commonsense-Augmented Score with an Expanded Answer Space3 Nov 2023
- 2023CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks23 Oct 2023
- 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization16 Oct 2023
- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents13 Oct 2023
- 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems14 Jul 2023
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets29 May 2023
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentences24 May 2023
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
- 2023OmniVec: Learning robust representations with cross modal sharingcited by 44
- 2025OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learningcited by 13
- 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarizationcited by 7
- 2025An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniquescited by 6
- 2024ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AIcited by 4
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
- 2024A Novel LLM-based Two-stage Summarization Approach for Long Dialoguescited by 3
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentencescited by 2
- 2023CASE: Commonsense-Augmented Score with an Expanded Answer Spacecited by 0
- 2025An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques7 Jul 2025
- 2025OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning6 Jul 2025
- 2024A Novel LLM-based Two-stage Summarization Approach for Long Dialogues9 Oct 2024
- 2024ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI27 Jan 2024
- 2023OmniVec: Learning robust representations with cross modal sharing7 Nov 2023
- 2023CASE: Commonsense-Augmented Score with an Expanded Answer Space3 Nov 2023
- 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization16 Oct 2023
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets29 May 2023
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentences24 May 2023
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions18 Oct 2022