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Surfer100: Generating Surveys From Web Resources, Wikipedia-style. (arXiv:2112.06377v4 [cs.CL] UPDATED)
Web: http://arxiv.org/abs/2112.06377
June 23, 2022, 1:12 a.m. | Irene Li, Alexander Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev
cs.CL updates on arXiv.org arxiv.org
Fast-developing fields such as Artificial Intelligence (AI) often outpace the
efforts of encyclopedic sources such as Wikipedia, which either do not
completely cover recently-introduced topics or lack such content entirely. As a
result, methods for automatically producing content are valuable tools to
address this information overload. We show that recent advances in pretrained
language modeling can be combined for a two-stage extractive and abstractive
approach for Wikipedia lead paragraph generation. We extend this approach to
generate longer Wikipedia-style summaries with …
More from arxiv.org / cs.CL updates on arXiv.org
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