Title :
The frame-based module of the SUISEKI information extraction system
Author :
Blaschke, Christian ; Valencia, Alfonso
Author_Institution :
Univ. Autonoma de Madrid, Spain
Abstract :
SUISEKI, an information extraction system, uses morphological, syntactical, and contextual information to detect gene and protein names and interactions in scientific texts. This article describes the system´s rules (called frames) used to detect and analyze interaction networks described in the molecular biology literature.
Keywords :
biology computing; computational linguistics; information retrieval; information retrieval systems; natural language interfaces; scientific information systems; SUISEKI; computational linguistics; contextual information; frame-based module; gene names; information extraction system; interaction networks; molecular biology; morphological information; protein names; rules; scientific texts; syntactical information; Bioinformatics; Data mining; Fasteners; Frequency; Genomics; Information analysis; Information resources; Information retrieval; Natural languages; Proteins;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2002.999215
