Entity Relation Extraction is an important research field in Information Extraction.
实体关系抽取是信息抽取领域中的重要研究课题。
By doing these, the performance of named entity relation extraction was enhanced greatly.
通过以上两种方法，使命名实体之间关系抽取结果的性能大大提高。
The experiment demonstrates that SRV is successful and effective for the named entity relation extraction.
实验证明srv算法用于命名实体关系的抽取是成功和有效的。
Owing to the important of edges in the network modeling, we mainly research the entity relation extraction.
由于网络构建中边的重要性，本文主要对实体关系抽取进行研究。
Identifying entity relation of sentence is important technology of information extraction.
识别句子中实体关系是信息抽取的重要技术。
Identifying entity relation of sentence is important technology of information extraction.
识别句子中实体关系是信息抽取的重要技术。
应用推荐