Automatic extraction of cause-effect information from medical abstracts

Automatic extraction of cause-effect information from medical abstracts

This study seeks to develop an information extraction system focusing on cause-effect information. The system is developed to make use of linguistic clues to identify and extract cause-effect information that is explicitly expressed in text. The approach adopted is the pattern matching and slot fill...

Full description

Bibliographic Details
Main Author: Niu, Yun.
Other Authors: Chan, Syin
Format: Thesis
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/2409
Description
Summary:This study seeks to develop an information extraction system focusing on cause-effect information. The system is developed to make use of linguistic clues to identify and extract cause-effect information that is explicitly expressed in text. The approach adopted is the pattern matching and slot filling approach typically used in Information Extraction systems.

Similar Items