Proceedings of the Korean Society for Language and Information Conference (한국언어정보학회:학술대회논문집)
- 2007.11a
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- Pages.508-514
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- 2007
Research on a Model of Extracting Persons' Information Based on Statistic Method and Conceptual Knowledge
- Wei, XiangFeng (Institute of Acoustics, Chinese Academy of Sciences) ;
- Jia, Ning (Institute of Acoustics, Chinese Academy of Sciences) ;
- Zhang, Quan (Institute of Acoustics, Chinese Academy of Sciences) ;
- Zang, HanFen (Captical University of Economics and Business)
- Published : 2007.11.01
Abstract
In order to extract some important information of a person from text, an extracting model was proposed. The person's name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person's name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.
Keywords
- Person's Name Recognition;
- Hierarchical Network of Concepts;
- Main Elements of Events;
- Semantic Parsing;
- Information Extraction