A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation

Anthology ID:: I13-1071
Volume:: Proceedings of the Sixth International Joint Conference on Natural Language Processing
Month:: October
Year:: 2013
Address:: Nagoya, Japan
Editors:: Ruslan Mitkov, Jong C. Park
Venue:: IJCNLP
SIG:
Publisher:: Asian Federation of Natural Language Processing
Note:
Pages:: 623–631
Language:
URL:: https://aclanthology.org/I13-1071
DOI:
Bibkey:
Cite (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.
Cite (Informal):: A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation (Song & Xia, IJCNLP 2013)
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PDF:: https://preview.aclanthology.org/naacl24-info/I13-1071.pdf