关键词: 微博实体链接, 改进的拼音编辑距离, 后缀词表匹配法, 实体消歧

Abstract: The authors focus on the task of entity linking of Chinese microblog in NLP&CC2013, taking Sina microblog data provided by CCF as training data and test data, and Yebol Chinese segmentation system as segmentation technology. A way of entity linking is proposed which links from knowledge base to search entity from thesaurus, using improved pinyin edit distance and suffix vocabulary matching method. The authors also propose a disambiguation method, and the method combine entity clustering disambiguation and similar entity disambiguation based on Baidu encyclopedia. In the task of Chinese microblog entity linking of CCF, this system performs as the third-most-correct-probability system with a correct rate of 0.8838 in ten systems. The result indicates that the proposed entity link and entity disambiguation has efficiency and the ability to apply noise in text.

Key words: microblog entity linking, improved pinyin edit distance, suffix vocabulary matching method, entity disambiguation