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Graph-based Pre-training and Prompting for Few-shot ...
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由 R Jin 著作2023被引用 3 次 — Abstract. Table Understanding (TU) is a crucial aspect of information extraction that enables machines to comprehend the semantics behind tabular data.
TabPrompt: Graph-based Pre-training and Prompting for ...
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This paper proposes a method for table understanding in the few-shot setting using prompt and graph-based approaches. The main contributions of the paper ...
TabPrompt: Graph-based Pre-training and Prompting for ...
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由 R Jin 著作2023被引用 3 次 — Table Understanding (TU) is a crucial aspect of information extraction that enables machines to comprehend the semantics behind tabular.
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Rihui Jin - Google 學術搜尋
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TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. R Jin, J Wang, W Tan, Y Chen, G Qi, W Hao.
Yongrui Chen
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TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding · Rihui Jin, Jianan Wang, Wei Tan, Yongrui Chen, Guilin Qi, Wang Hao.
Graph-RAG/GraphRAG
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3 日前 — [ACL 23] TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding [paper] · [VLDB 22] xFraud: Explainable Fraud ...
Yongrui Chen（陈永锐） - Google 学术搜索
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TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. R Jin, J Wang, W Tan, Y Chen, G Qi, W Hao. Findings of the Association for ...
Guilin Qi
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TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. EMNLP (Findings) 2023: 7373-7383. [c165]. view. electronic edition via DOI ...
Wang Hao
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TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. EMNLP (Findings) 2023: 7373-7383. [i1]. view. electronic edition via DOI ...
HeGTa: Leveraging Heterogeneous Graph-enhanced ...
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2024年12月15日 — TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. In Conference on Empirical Methods in Natural Language ...