Semi-Supervised Method for Mining Product Name
Houfeng Wang · Zhongwen xinxi xuebao · 2012
Baidu baike contains large amount of knowledges on the named entity,the link relationship and the information.In order to recognize the product(or brand) name from texts,we propose a graph-based method to discover product name using a few seeds.We incorporate the related entry and open category structure of baidu baike to reinforce the similarity measures.Applied this method on 1.3 million entries,satisfactory results are achieved for the product mining.