| Challenge: | Summarization of multi-party conversation requires corpora to analyze characteristics of conversations and construct a method for summary generation. |
| Approach: | They propose to annotate a Japanese conversation corpus for a decision-making task . they compare extractive summarization methods with the annotated extractive summary . |
| Outcome: | The proposed corpus is the first annotated for conversation summarization tasks and freely available to anyone. |
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Facet-Aware Evaluation for Extractive Summarization (2020.acl-main)
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| Challenge: | Sentence-level extractive text summarization is difficult to model the importance of sentences. |
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