Frustratingly Easy Domain Adaptation
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Abstract
We describe an approach to domain adaptation that is appropriate exactly in the case when one has enough ``target'' data to do slightly better than just using only ``source'' data. Our approach is incredibly simple, easy to implement as a preprocessing step (10 lines of Perl!) and outperforms state-of-the-art approaches on a range of datasets. Moreover, it is trivially extended to a multi-domain adaptation problem, where one has data from a variety of different domains.
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Topics
Keywords
- Adaptation (eye)
- Computer science
- Domain adaptation
- Domain (mathematical analysis)
- Psychology
- Artificial intelligence
- Neuroscience
- Mathematics
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