Chinese Scientific and Technological Named Entity Identification and Relation Extraction Based on Knowledge Tree

摘要：

In Scientific and Technological (S&T) papers, we first define Chinese S&T Named Entity (CSTNE) and Relation between Chinese S&T Named Entities (RCSTNE) that can offer help to solve the problem of deep knowledge mining in S&T literature database. Based on the definition of CSTNE and RCSTNE, we build their models which include semantic information. The relevant methods based on knowledge tree are also proposed to identify CSTNE and extract RCSTNE from S&T literatures. The evaluation on a large test set shows good result Our experiments further demonstrate the practicality of our method.

关键词： Knowledge Tree CSTNE Identification RCSTNE Extraction

作者: Xi Liu PengLu Xiaorong Qu Yibo Gao YiPing Yang

作者单位: Integrated Information System Research Center Institute of Automation Chinese Academy of Sciences High Technology Institute of the Second Artillery Beijing, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1099-1102

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）