Mutual-extraction between semantic relationships and lexical patterns in natural language processing
Mingquan Zhou · Jisuanji yingyong yanjiu · 2008
This paper focused on an automatic approach to build a semantic relationship database in the national science and technology infrastructure platform,identified lexical patterns and extended new semantic relationships by existing ones from corpus.In fact there were a lot of potential relationships between words,and these words could be connected to a big network by them.So the problem was how to model this network and how to get relationships automatically.With the concept of lexical pattern,devised a new method: generalized new patterns form the existing relationships and generalized new relationships from existing patterns.This paper designed and realized a Chinese semantic relationships knowledgebase system.Using this system and NLP technology,extracted more than 200 effective relationships and more than 1 000 new relationships(such as inherit and synonym) from Sogou corpus and Baidu Baike.The experiment result shows that the precision of these relationships is around 40%,depends on the distance between the searching words and the type of articles in corpus.