A Hassle-free Unsupervised Domain Adaptation Method using Instance Similarity Features
We present a simple yet effective unsupervised domain adaptation method that can be generally applied for different NLP tasks. Our method uses unlabeled target domain instances to induce a set of instance similarity features. These features are then combined with the original features to represent l...
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Main Authors: | YU, Jianfei, Jing JIANG |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2015
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2981 https://ink.library.smu.edu.sg/context/sis_research/article/3981/viewcontent/P15_2028.pdf |
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Institution: | Singapore Management University |
Language: | English |
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