A Study of Information Extraction from Free Text Based on Chinese FrameNet Tagging

摘要：

Information extraction (IE) is a main approach for constructing database from free text corpus and for automatic collecting information. Frame semantic tagging is suggested to be the base for rule-building in IE. IE based on frame semantic tagging uses a uniform approach to guide the process of IE. Processing at a finer granularity level, the approach has a universal appeal for IE in domains showing strong semantic rules. A system called BA IE (book abstract information extract ion system), which is based on frame semantic, is designed and used to extract information from book abstract. The result shows that the approach is feasible and has practical promise.

关键词： information extraction frame semantics Chinese FrameNet extraction rules

作者: Zhang Yingjun Hao Xiaoyan Duanfu

作者单位: Academe of Computer Science & Technology Taiyuan University of Science & Technology Taiyuan 030024, Academe of Computer Science & Technology Taiyuan University of Technology Taiyuan 030024, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 62-65

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）