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cs.CL2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Yi-Syuan Chen, Yun-Zhu Song, Hong-Han Shuai
Neural abstractive summarization has been widely studied and achieved great success with large-scale corpora. However, the considerable cost of annotating data motivates the need f…
cs.CL2022
Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness
Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai
A notable challenge in Multi-Document Summarization (MDS) is the extremely-long length of the input. In this paper, we present an extract-then-abstract Transformer framework to ove…
cs.CL2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen, Hong-Han Shuai
Neural abstractive summarization has been studied in many pieces of literature and achieves great success with the aid of large corpora. However, when encountering novel tasks, one…