A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features

Jianfei Yu, Jing Jiang


Anthology ID:
P15-2028
Volume:
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)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
168–173
Language:
URL:
https://aclanthology.org/P15-2028
DOI:
10.3115/v1/P15-2028
Bibkey:
Cite (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.
Cite (Informal):
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features (Yu & Jiang, ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/P15-2028.pdf