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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. (arXiv:2201.05966v2 [cs.CL] UPDATED)
Jan. 21, 2022, 2:10 a.m. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victo
cs.CL updates on arXiv.org arxiv.org
Structured knowledge grounding (SKG) leverages structured knowledge to
complete user requests, such as semantic parsing over databases and question
answering over knowledge bases. Since the inputs and outputs of SKG tasks are
heterogeneous, they have been studied separately by different communities,
which limits systematic and compatible research on SKG. In this paper, we
overcome this limitation by proposing the SKG framework, which unifies 21 SKG
tasks into a text-to-text format, aiming to promote systematic SKG research,
instead of being exclusive …
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