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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Main Author: Song , Shen
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.usm.my/42706/1/SONG_SHEN.pdf
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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