【摘要】 针对专家推荐场景下中文机构名称存在语义异构的问题,提出搜索引擎与规则相结合的中文实体名称消歧方法,首先利用搜索引擎的映射能力解决异构问题,然后通过编辑距离纠正实体机构名称,最后使用后缀、缩写等规则对实体进行消歧。该方法在12108份包含同名机构实体的真实数据集上测试具有良好的性能表现,机构数量降低12%,实验结果表明所提方法有效。更多还原

【Abstract】 Aiming at the problem of semantic heterogeneity of Chinese institution names in expert recommendation scenarios,a Chi?nese entity name disambiguation method based on search engines and rules is proposed.First,the mapping capabilities of search engines are used to solve the heterogeneous problem,and then the entity institution name is corrected by editing distance.And finally use suffix,abbreviation and other rules to disambiguate entities.The method has a good performance when tested on 12108 real data sets containing institutional entities with same names,and the number of institutions is reduced by 12%.The experimental results show that the proposed method is effective.更多还原