AUTOMATED EXTRACTION OF BIO-ENTITY RELATIONSHIPS FROM LITERATURE

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原文链接

NETL
万方数据
欧洲专利局

外文摘要：Automated, standardized and accurate extraction of relationships within text. Automatic extraction of such relationships/information allows the information to be stored in structured form so that it can be easily and accurately retrieved when needed. Such information can be used to build online search engines for highly specific and accurate information retrieval. The current invention discloses a novel approach to extract such information from raw text based on natural language processing (NLP) and graph theoretic algorithm. The novel method can be applied, for example, to extract protein-protein relationships in biomedical literature. The method can be easily extended to extract other biological relationships between biological terms such as proteins, genes, pathways, diseases and drugs. The method can also be applied to other information domains to extract other relationships.

申请号：

US20130854546

申请日：

2013-04-01

公开日：

2013-10-03

IPC分类：

G06F-17/28

申请人：

The Florida State University Research Foundation, Inc.;THE FLORIDA STATE UNIVERSITY RESEARCH FOUNDATION, INC.

发明人：

Zhang, Jinfeng

国别省市代码：

美国(US)