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%0 Conference Proceedings
%T A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation
%A Song, Yan
%A Xia, Fei
%Y Mitkov, Ruslan
%Y Park, Jong C.
%S Proceedings of the Sixth International Joint Conference on Natural Language Processing
%D 2013
%8 October
%I Asian Federation of Natural Language Processing
%C Nagoya, Japan
%F song-xia-2013-common
%U https://aclanthology.org/I13-1071
%P 623-631

Markdown (Informal)

[A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation](https://aclanthology.org/I13-1071) (Song & Xia, IJCNLP 2013)

• A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation (Song & Xia, IJCNLP 2013)

ACL

• Yan Song and Fei Xia. 2013. A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 623–631, Nagoya, Japan. Asian Federation of Natural Language Processing.