Title :
Research on Chinese Information Retrieval Based on a Hybrid Language Modeling
Author :
Zheng, De-quan ; Zhao, Tie-jun ; Yu, Feng ; Li, Sheng ; Yu, Hao
Author_Institution :
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce
Abstract :
For information retrieval, users hope to acquire more relevant information from the top indexing documents. In this paper, a combination of ontology with statistical method is presented to retrieval initial document set and improves the precision of top N ranking documents by re-ranking document set. The experiment with NTCIR-3 Chinese CLIR dataset shows the proposed method improved the precision of information retrieval
Keywords :
document handling; indexing; information retrieval; natural languages; ontologies (artificial intelligence); statistical analysis; Chinese information retrieval; document indexing; hybrid language modeling; ontology combination; statistical method; Business; Cybernetics; Dictionaries; Frequency; Indexing; Information retrieval; Laboratories; Machine learning; Natural language processing; Natural languages; Ontologies; Speech processing; Statistical analysis; Tagging; Ontology; information retrieval; knowledge acquisition; linguistic Ontology knowledge; statistical method;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258854
