Research on method of query expansion fusion with special NER
Lei Su · Jisuanji gongcheng yu sheji · 2012
For the characteristics of domain knowledge and the current limitations of the basic query expansion method,a new query expansion method of domain text retrieval by combining special named entity recognition(SNER) and basic query expansion method is proposed.First,eighteen categories of named entities are marked,and then the theory of conditional random fields(CRFS) is adopted to establish entity recognition model,finally,recognition model is integrated into the local context analysis of query expansion method by linear interpolation method to select expansion terms.The experimental result of tourism data sets shows the proposed method is superior to the existing three basic expansion methods;the accuracy is improved by 15.8%.In particular,the method of fusion LCA and SNER improved 21.4%.