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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2009
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my.usm.eprints.42706 http://eprints.usm.my/42706/ Rule Generation Based On Structural Clustering For Automatic Question Answering 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42706/1/SONG_SHEN.pdf Song , Shen (2009) Rule Generation Based On Structural Clustering For Automatic Question Answering. Masters thesis, Universiti Sains Malaysia. |
| institution |
Universiti Sains Malaysia |
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Hamzah Sendut Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Sains Malaysia |
| content_source |
USM Institutional Repository |
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http://eprints.usm.my/ |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers. Computer science |
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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 |
| 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 |
| publishDate |
2009 |
| url |
http://eprints.usm.my/42706/1/SONG_SHEN.pdf http://eprints.usm.my/42706/ |
| _version_ |
1643710553016762368 |
| score |
13.251813 |