Papers by Chaehyeong Kim
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets (2022.emnlp-main)
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| Challenge: | a number of largescale datasets targeting a specific conversational skill have recently become available. |
| Approach: | They propose a framework where multiple agents grounded to specific skills participate in a conversation to automatically annotate multi-skill dialogues. |
| Outcome: | The proposed framework can be used to build open-domain chatbots with diverse communicative skills. |
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization (2022.coling-1)
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| Challenge: | Existing frameworks that use commonsense as supervision only use input knowledge, but it generates more informative and consistent summaries. |
| Approach: | They propose to leverage the unique characteristics of dialogues sharing commonsense knowledge to solve the difficulties in summarizing them. |
| Outcome: | The proposed framework generates more informative and consistent summaries with injected commonsense knowledge than existing methods. |