论文名称:CT-DA: A Knowledge Extraction Method for Cultural Industry Big Data,本文提出一种融合注意力机制和对抗迁移学习的文化产业知识抽取方法(CT-DA),旨在实现低资源、边界强模糊性的文化产业大数据的知识抽取。首先,设计一种针对文化产业大数据的标注策略,将知识抽取问题转化为知识学习问题;其次,设计多层神经网络模型完成知识学习工作
The Arts and Cultural Production Satellite Account (ACPSA) is produced through the partnership between the United States Bureau of Economic Analysis (BEA) and the National Endowment for the Arts (NEA)