Rule Generation Based On Structural Clustering For Automatic Question Answering

Song , Shen (2009) Rule Generation Based On Structural Clustering For Automatic Question Answering. Masters thesis, Universiti Sains Malaysia.

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Abstract

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.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User:	ASM Ab Shukor Mustapa
Date Deposited:	24 Oct 2018 07:14
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/42706

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