doi:10.1017/S0269888918000085

Blitzer J., Dredze M. & Pereira F. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the ACL, 440–447.

Blitzer J., McDonald R. & Pereira F. 2006. Domain adaptation with structural correspondence learning. In Proceedings of the EMNLP, 120–128.

Bollegala D., Mu T. & Goulermas J. Y. 2015. Cross-domain sentiment classification using sentiment sensitive embeddings. IEEE Transactions on Knowledge and Data Engineering 28(2), 398–410.

Bollegala D., Weir D. & Carroll J. 2011. Using multiple sources to construct a sentiment sensitive thesaurus for cross-domain sentiment classification. In Proceedings of the ACL, 132–141.

Bollegala D., Weir D. & Carroll J. 2014. Learning to predict distributions of words across domains. In Proceedings of the ACL, 613–623.

Church K. W. & Hanks P. 1990. Word association norms, mutual information, and lexicography’. Computational Linguistics 16(1), 22–29.

Jiang J. & Zhai C. 2007. Instance weighting for domain adaptation in nlp. In Proceedings of the ACL, 264–271.

Koehn P. & Schroeder J. 2007. Experiments in domain adaptation for statistical machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, 224–227.

Kübler S. & Baucom E. 2011. Fast domain adaptation for part of speech tagging for dialogues. In Proceedings of the RANLP, 41–48.

Li S. & Zong C. 2008. Multi-domain sentiment classification. In ACL 2008 (short papers), 257–260.

Liu Y. & Zhang Y. 2012. Unsupervised domain adaptation for joint segmentation and POS-tagging. In Proceedings of the COLING, 745–754.

Manning C. D. & Schütze H. 1999. Foundations of Statistical Natural Language Processing. MIT Press.

Mansour R. H., Refaei N., Gamon M., Sami K. & Abdel-Hamid A. 2013. Revisiting the old kitchen sink: do we need sentiment domain adaptation? In Proceedings of the RANLP, 420–427.

Pan S. J., Ni X., Sun J.-T., Yang Q. & Chen Z. 2010. Cross-domain sentiment classification via spectral feature alignment. In Proceedings of WWW, 751–760.

Pang B., Lee L. & Vaithyanathan S. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of the EMNLP, 79–86.

Schnabel T. & Schütze H. 2013. Towards robust cross-domain domain adaptation for part-of-speech tagging. In Proceedings of the IJCNLP, 198–206.

Turney P. 2006. Similarity of semantic relations. Computational Linguistics 32(3), 379–416.

Turney P. D. 2001. Minning the web for synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the ECML-2001, 491–502.

Yu J. & Jiang J. 2015. A hassle-free unsupervised domain adaptation method using instance similarity features. In Proceedings of the ACL-IJCNLP, 168–173.

Zhang Y., Xu X. & Hu X. 2015. A common subspace construction method in cross-domain sentiment classification. In Procedings of International Conference on Electronic Science and Automation Control (ESAC), 48–52.