natural-language-processing-9
Email Thread Summarization
3260 papers • 126 benchmarks • 313 datasets
Image credit: EmailSum: Abstractive Email Thread Summarization
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EmailSum: Abstractive Email Thread Summarization
Jianfeng Gao, Asli Celikyilmaz, Mohit Bansal, Shiyue Zhang•Thu Jul 29 2021
The results reveal the key challenges of current abstractive summarization models in this task, such as understanding the sender’s intent and identifying the roles of sender and receiver and emphasize the importance of human evaluation and the development of better metrics by the community.
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