Research on a Model of Extracting Persons' Information Based on Statistic Method and Conceptual Knowledge

被引：0
|
作者：
Wei, XiangFeng [1 ]
Jia, Ning [1 ,2 ]
Zhang, Quan [1 ]
Zang, HanFen [3 ]
机构：
[1] Chinese Acad Sci, Inst Acoust, Beijing 100864, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing, Peoples R China
[3] Capt Univ Econ & Business, Beijing, Peoples R China
来源：
PACLIC 21: THE 21ST PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION, PROCEEDINGS | 2007年
关键词：
Person's Name Recognition; Hierarchical Network of Concepts; Main Elements of Events; Semantic Parsing; Information Extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：508 / +
页数：2
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