Rule Generation Based On Structural Clustering For Automatic Question Answering

In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automa...

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Bibliographic Details
Main Author:	Song , Shen
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/42706/1/SONG_SHEN.pdf
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id	my-usm-ep.42706
record_format	uketd_dc
spelling	my-usm-ep.427062019-04-12T05:26:59Z Rule Generation Based On Structural Clustering For Automatic Question Answering 2009-12 Song , Shen QA75.5-76.95 Electronic computers. Computer science In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automatic structural rule generation algorithm is presented via clustering, where a center sentence-based clustering method is designed to automatically generate rules for QA systems. 2009-12 Thesis http://eprints.usm.my/42706/ http://eprints.usm.my/42706/1/SONG_SHEN.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Song , Shen Rule Generation Based On Structural Clustering For Automatic Question Answering
description	In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automatic structural rule generation algorithm is presented via clustering, where a center sentence-based clustering method is designed to automatically generate rules for QA systems.
format	Thesis
qualification_level	Master's degree
author	Song , Shen
author_facet	Song , Shen
author_sort	Song , Shen
title	Rule Generation Based On Structural Clustering For Automatic Question Answering
title_short	Rule Generation Based On Structural Clustering For Automatic Question Answering
title_full	Rule Generation Based On Structural Clustering For Automatic Question Answering
title_fullStr	Rule Generation Based On Structural Clustering For Automatic Question Answering
title_full_unstemmed	Rule Generation Based On Structural Clustering For Automatic Question Answering
title_sort	rule generation based on structural clustering for automatic question answering
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2009
url	http://eprints.usm.my/42706/1/SONG_SHEN.pdf
_version_	1747821093147639808

Rule Generation Based On Structural Clustering For Automatic Question Answering

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