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A novel composite kernel approach to Chinese entity relation extraction

机译：中文实体关系提取的一种新型复合核方法

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Department of Computing

机译：计算系

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作者
Zhang J; Ouyang Y; Li WJ; Hou Y;
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年度 2009
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原文格式 PDF
正文语种 eng
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专利

1. Employing Constituent Dependency Information for Tree Kernel-Based Semantic Relation Extraction between Named Entities [J] . LONGHUA QIAN, GUODONG ZHOU, QIAOMING ZHU ACM transactions on Asian language information processing . 2011,第3期

机译：利用成分依赖信息进行命名实体之间基于树核的语义关系提取
2. Relation Extraction between Medical Entities using Deep Learning Approach [J] . Ruchi Patel, Sanjay Tanwani, Chhaya Patidar Informatica: An International Journal of Computing and Informatics . 2021,第3期

机译：深度学习方法医学实体的关系提取
3. A NOVEL RULE BASED APPROACH FOR ENTITY RELATIONS EXTRACTION [J] . MUJIONO SADIKIN, ITO WASITO Journal of Theoretical and Applied Information Technology . 2015,第2期

机译：基于规则的实体关系提取方法
4. A Novel Composite Kernel Approach to Chinese Entity Relation Extraction [C] . Ji Zhang, You Ouyang, Wenjie Li, Computer processing of oriental languages : Language technology for the Knowledge-based economy . 2009

机译：中文实体关系抽取的一种新型复合核方法
5. Learning for information extraction: From named entity recognition and disambiguation to relation extraction. [D] . Bunescu, Razvan Constantin. 2007

机译：学习信息提取：从命名实体识别和歧义消除到关系提取。
6. Automatic extraction of semantic relations between medical entities: a rule based approach [O] . Asma Ben Abacha, Pierre Zweigenbaum 2011

机译：自动提取医疗实体之间的语义关系：基于规则的方法
7. A Novel Feature-based Approach to Chinese Entity Relation Extraction [O] . Wenjie Li, Peng Zhang, Furu Wei, 2010

机译：基于特征的中文实体关系抽取新方法
8. Extraction of Relations between Entities from Texts by Learning Methods [R] . Goujon, B. , Frigiere, J. 2006

机译：用学习方法从文本中提取实体之间的关系

A novel composite kernel approach to Chinese entity relation extraction

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