An Entity Relation Extraction Model based on Semantic Pattern Matching
This paper proposes a relation extraction model based on semantic pattern matching in Web environment. It consists of frequent pattern extraction, pattern clustering based on density, and pattern matching based on semantic similarity. First, based on the entities with known relations in a limited training set, we extract relation patterns containing these named entities from the web page. Then the relations between entities from the web page in specific areas can be extracted based on these relation patterns extracted. Experiments show the affectivity and the self-adaptive of our method on extracting relations between entities from dynamic web environment.
component relation pattern extraction pattern matching semantic similarity
Tiezheng Nie Derong Shen Yue Kou Ge Yu Dejun Yue
College of Information Science and Engineering, Northeastern University,Shenyang, China,110004 College of Information Science and Engineering, Northeastern University, Shenyang, China,110004
国际会议
重庆
英文
7-12
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）