Using Wikipedia and Semantic Resources to Improve the Performance of Automatic Question Answering
碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 103 === In this thesis, we propose Automatic Question Answering with using Wikipedia and Semantic Resourses, and the system can handle anser type such as ARTIFACT, LOCATION, ORGANIZATION, and PERSON. We supposed all answers is Wikipedia article title, CLQA-1 and CLQA2...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/86684909642763896480 |