实体的别名是指同一个实体的不同名称。传统的别名抽取方法存在训练语料构建困难和时效性差这两个问题。针对这两个问题,该文提出了一种基于图的查询日志实体别名抽取方法。该方法利用查询日志的上下文信息和查询链接信息,构建了二层图(包括别名候选图层和查询链接图层),并通过随机游走算法对图中的候选别名进行排序。实验结果表明:1)该方法准确率达到了71.8%,证明该方法可行有效。2)使用查询链接信息进行别名抽取优于使用上下文信息进行别名抽取。这两种信息的结合能获得更好的别名抽取效果。
The alias of entity means the different names which refer to the same entity.Traditional alias extraction methods often have two problems:1)the difficulty of constructing training corpus;2)the lack of timeliness.To resolve the two problems,this paper proposes a graph based alias extraction method using query log.This method uses context information and query-link information,constructs a two-layer graph(including the candidate alias layer and the query-link layer)and sorts the alias using random walk algorithm.The experimental results show that:1)our method achieves the accuracy of 71.8%,which proves our method is effective.2)Using query-link information outperforms the method which uses context information and the combination of this two type’s information improves the performance.