一种基于Markov逻辑网的中文地理名称实体解析方法

摘要

Markov Logic Network has the ability to handling the complex representation and the uncertainty of first-order logic and probabilistic graphical models. An entity resolution method based on Markov logic network and property extraction algorithm employing ontology and web search is proposed to improve the performance of named entity resolution for unstructured data based on Markov logic network. The method is then applied to the resolution of Chinese geographic names. The experimental result shows that the proposed method is effective in geographic entity resolution.%根据Markov逻辑网融合一阶谓词逻辑和概率图模型的复杂性及不确定性处理能力的优点,提出将Markov 逻辑网和基于本体与WEB搜索的属性抽取算法相结合的命名实体解析方法(MLN_AE NER),解决一般基于Markov逻辑网的实体解析方法对非结构化的命名实体解析效果不佳的问题,并将该方法针对中文地理名称解析问题进行相应设计和实验.实验结果表明该方法具有较好的解析效果.