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%0 Conference Proceedings
%T A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features
%A Yu, Jianfei
%A Jiang, Jing
%Y Zong, Chengqing
%Y Strube, Michael
%S Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2015
%8 July
%I Association for Computational Linguistics
%C Beijing, China
%F yu-jiang-2015-hassle
%R 10.3115/v1/P15-2028
%U https://aclanthology.org/P15-2028
%U https://doi.org/10.3115/v1/P15-2028
%P 168-173

Markdown (Informal)

[A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features](https://aclanthology.org/P15-2028) (Yu & Jiang, ACL-IJCNLP 2015)

• A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features (Yu & Jiang, ACL-IJCNLP 2015)

ACL

• Jianfei Yu and Jing Jiang. 2015. A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 168–173, Beijing, China. Association for Computational Linguistics.