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Ridong Han1, Tao Peng2, Beibei Zhu3
1School of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China; College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China.
本研究引入了一种新的方法,通过使用实体类型约束来学习关系相关性来改进文档级关系提取. 这种方法有效地解决了长尾问题和关系提取任务中的多标签分类等挑战.
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