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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| 格式: | Thesis |
| 語言: | English |
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2009
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/42706/1/SONG_SHEN.pdf http://eprints.usm.my/42706/ |
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| 總結: | 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. |
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