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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書目詳細資料
主要作者:	Song , Shen
格式:	Thesis
語言:	English
出版:	2009
主題:	QA75.5-76.95 Electronic computers Computer science
在線閱讀:	http://eprints.usm.my/42706/1/SONG_SHEN.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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