1. Ando, R., & Zhang, T. (2005). A high-performance semi-supervised learning method for text chunking. In Proceedings of ACL.
2. Andreevskaia, A., & Bergler, S. (2008). When specialists and generalists work together: overcoming domain dependence in sentiment tagging. In Proceedings of ACL.
3. Aue, A., & Gamon, M. (2005). Customizing sentiment classifiers to new domains: A case study. In Proceedings of RANLP.
4. Blitzer, J., Dredze, M., & Pereira, F. (2007). Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In Proceedings of ACL.
5. Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. In Proceedings of COLT (pp. 92–100).