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...

詳細記述

書誌詳細
第一著者: Song , Shen
フォーマット: 学位論文
言語:英語
出版事項: 2009
主題:
オンライン・アクセス:http://eprints.usm.my/42706/