Rule Generation Based On Structural Clustering For Automatic Question Answering

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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书目详细资料
主要作者:	Song , Shen
格式:	Thesis
语言:	English
出版:	2009
主题:	QA75.5-76.95 Electronic computers Computer science
在线阅读:	http://eprints.usm.my/42706/1/SONG_SHEN.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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