Linguistic knowledge representation and automatic acquisition based on a combination of ontology with statistical method

Authors:
Dequan Zheng;Tiejun Zhao;Sheng Li;Hao Yu
Affiliations:
Harbin Institute of Technology, MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin;Harbin Institute of Technology, MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin;Harbin Institute of Technology, MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin;Harbin Institute of Technology, MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin
Venue:
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Year:
2006

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Abstract

Due to the complexity and flexibility of natural language, linguistic knowledge representation, automatic acquisition and its application research becomes difficult. In this paper, a combination of ontology with statistical method is presented for linguistic knowledge representation and acquisition from training data. In this study, linguistic knowledge representaiton is firstly defined using ontology theory, and then, linguistical knowledge is automatically acquired by statistical method. In document processing, the semantic evaluation value of the document can be get by linguistic knowledge. The experimention in Chinese information retrieval and text classification shows the proposed method improves the precision of nature language processing.