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...

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Bibliographic Details
Main Author:	Niu, Yun.
Other Authors:	Chan, Syin
Format:	Theses and Dissertations
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
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2409
record_format	dspace
spelling	sg-ntu-dr.10356-24092023-03-04T00:29:33Z Automatic extraction of cause-effect information from medical abstracts Niu, Yun. Chan, Syin School of Computer Engineering Khoo, Christopher Soo Guan 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 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. Master of Engineering (SCE) 2008-09-17T09:02:26Z 2008-09-17T09:02:26Z 2001 2001 Thesis http://hdl.handle.net/10356/2409 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	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
spellingShingle	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 Niu, Yun. Automatic extraction of cause-effect information from medical abstracts
description	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.
author2	Chan, Syin
author_facet	Chan, Syin Niu, Yun.
format	Theses and Dissertations
author	Niu, Yun.
author_sort	Niu, Yun.
title	Automatic extraction of cause-effect information from medical abstracts
title_short	Automatic extraction of cause-effect information from medical abstracts
title_full	Automatic extraction of cause-effect information from medical abstracts
title_fullStr	Automatic extraction of cause-effect information from medical abstracts
title_full_unstemmed	Automatic extraction of cause-effect information from medical abstracts
title_sort	automatic extraction of cause-effect information from medical abstracts
publishDate	2008
url	http://hdl.handle.net/10356/2409
_version_	1759857147392294912

Automatic extraction of cause-effect information from medical abstracts

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