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Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
April 23, 2024, 4:50 a.m. | Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song
cs.CL updates on arXiv.org arxiv.org
Abstract: The task of condensing large chunks of textual information into concise and structured tables has gained attention recently due to the emergence of Large Language Models (LLMs) and their potential benefit for downstream tasks, such as text summarization and text mining. Previous approaches often generate tables that directly replicate information from the text, limiting their applicability in broader contexts, as text-to-table generation in real-life scenarios necessitates information extraction, reasoning, and integration. However, there is a …
arxiv cs.cl extraction global information integration table text type via
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