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

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2586

Lastpage

2591

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258854

Filename

4028500