计算机工程2012，Vol.38Issue(18)：162-165,170,5.DOI:10.3969/j.issn.1000-3428.2012.18.044
Markov逻辑网及其在信息抽取中的应用
Markov Logic Network and Its Applications in Information Extraction
摘要
Abstract
This paper addresses the theoretical model, structure and parameter learning algorithms, two kinds of inference problems of Markov Logic Network(MLN) and its applications in Information Extraction(IE), including named entity recognition, entity relation extraction and entity resolution. MLN model can combine one-order predicate logic and probability graph model, fuse modular knowledge into Markov network, and describe complicate characteristics.关键词
Markov逻辑网/权重学习/结构学习/推理/命名实体识别/实体关系抽取/实体解析Key words
Markov Logic Network(MLN)/ weight learning/ structure learning/ inference/ named entity recognition/ entity relation extraction/ entity resolution分类
信息技术与安全科学引用本文复制引用
谭永兴,罗军勇,尹美娟..Markov逻辑网及其在信息抽取中的应用[J].计算机工程,2012,38(18):162-165,170,5.基金项目
国家部委基金资助项目 （）
