Data and code for "Cross-Cultural Transfer Learning for Text Classification" by Dor Ringel, Gal Lavee, Ido Guy and Kira Radinsky, EMNLP 2019
- (Oct 2019) we are still working on licensing the data so we can make it available.
CCTL is a transfer-learning framework that leverages widely-available unaligned bilingual corpora for classification tasks, using no task-specific data.
[1] D. Ringel, K. Radinsky, I. Guy and G. Lavee, Cross-Cultural Transfer Learning for Text Classification
@inproceedings{ringel-etal-2019-cross,
title = "Cross-Cultural Transfer Learning for Text Classification",
author = "Ringel, Dor and
Lavee, Gal and
Guy, Ido and
Radinsky, Kira",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-1400",
doi = "10.18653/v1/D19-1400",
pages = "3864--3874"
}
Contact: dorringel@cs.technion.ac.il