Multi-Source Domain Adaptation with Mixture of Experts
© 2018 Association for Computational Linguistics We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources. The key idea is to explicitly capture the relationship between a target example and different source domains. This relationship, expressed by a point-to...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics (ACL)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137419 |