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A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
March 5, 2024, 2:41 p.m. | Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
cs.LG updates on arXiv.org arxiv.org
Abstract: Information extraction (IE) aims to extract complex structured information from the text. Numerous datasets have been constructed for various IE tasks, leading to time-consuming and labor-intensive data annotations. Nevertheless, most prevailing methods focus on training task-specific models, while the common knowledge among different IE tasks is not explicitly modeled. Moreover, the same phrase may have inconsistent labels in different tasks, which poses a big challenge for knowledge transfer using a unified model. In this study, …
abstract annotations arxiv cs.ai cs.cl cs.lg data datasets decoder extract extraction focus graph information information extraction knowledge labor regularization tasks text training transfer transfer learning type via
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