Papers › Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
Seungone Kim, Se June Joo, Hyungjoo Chae, Chaehyeong Kim, Seung-won Hwang, Jinyoung Yeo
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.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Text Summarization | DialogSum | SICK | BertScore | 71.30 | #4 of 4 | Archive leaderboard | report |
| Text Summarization | DialogSum | SICK | Rouge1 | 46.26 | #4 of 4 | Archive leaderboard | report |
| Text Summarization | DialogSum | SICK | Rouge2 | 20.95 | #4 of 4 | Archive leaderboard | report |
| Text Summarization | DialogSum | SICK | RougeL | 41.05 | #4 of 4 | Archive leaderboard | report |
| Text Summarization | SAMSum | SICK | BertScoreF1 | 71.92 | #6 of 12 | Archive leaderboard | report |
| Text Summarization | SAMSum | SICK | ROUGE-1 | 53.73 | #6 of 12 | Archive leaderboard | report |
| Text Summarization | SAMSum | SICK | ROUGE-2 | 28.81 | #6 of 12 | Archive leaderboard | report |
| Text Summarization | SAMSum | SICK | ROUGE-L | 49.5 | #6 of 12 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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