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A Named Entity Mining Method Based on Transfer Learning
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ZHAI Haijun1,2,GUO Yong3,GUO Jiafeng2,CHENG Xueqi2 |
(1. School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China; 2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;3. Beijing Institute of System Engineering, Beijing 100101, China)
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Abstract This paper addresses the problem of mining named entities from query logs. A novel scheme was introduced based on transfer learning, which trains classifier for target category by leveraging Wikipedia data source. In this way it can greatly make use of supervised learning and also deal with the large scale labeling problem. The experiment results show the effectiveness of the novel scheme based on transfer learning.
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Received: 02 March 2010
Published: 28 February 2011
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