Title:
Entity_Relation_Extraction
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Description: Note: At present, the main research direction of information extraction is named entity recognition, anaphora resolution, entity semantic relation extraction, event detection, and several other areas. This information is collected on the relationship contains seven papers related to the classic.
- [abner] - a named entity recognition tools, Mallet
- [mingmingshitishibie] - This is a study on Named Entity Recognit
- [CRF] - CRF++ is a simple, customizable, and imp
- [CONLL-2000] - It is a Chinese named entity can test th
File list (Check if you may need any files):
中文实体关系抽取中的特征选择研究.pdf
基于BootStrapping的中文实体关系自动生成.pdf
基于XML的对象模型向实体关系模式转换方法研究.nh
基于正反例训练的SVM命名实体关系抽取.pdf
基于种子自扩展的命名实体关系抽取方法的研究.nh
实体关系模板的获取技术.pdf
实体关系自动抽取.pdf
