June 11, 2024, 4:41 a.m. | Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.05361v1 Announce Type: new
Abstract: Nowadays, neural text generation has made tremendous progress in abstractive summarization tasks. However, most of the existing summarization models take in the whole document all at once, which sometimes cannot meet the needs in practice. Practically, social text streams such as news events and tweets keep growing from time to time, and can only be fed to the summarization system step by step. Hence, in this paper, we propose the task of Stepwise Summarization, which …

abstract arxiv cs.cl document events however pilot practice progress social step-by-step study summarization summary tasks text text generation tweets type

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