Interactive Spoken Content Retrieval with Deep Reinforcement Learning
碩士 === 國立臺灣大學 === 電信工程學研究所 === 104 === Interactive retrieval is important for spoken content. The reason is because when looking for text documents, one can easily scan through and select on a search engine result page, whereas similar privileges don not exist when searching for spoken content. Besi...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
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Online Access: | http://ndltd.ncl.edu.tw/handle/37478361307949330114 |