Moka-ADA: adversarial domain adaptation with model-oriented knowledge adaptation for cross-domain sentiment analysis

Author:

Zhang Maoyuan,Li Xiang,Wu Fei

Funder

The Fundamental Research Funds of the National Language Committee

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference38 articles.

1. Socher R, Perelygin A, Wu J, Chuang J, Manning CD, Ng AY, Potts C (2013) Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1631–1642

2. Wilson G, Cook DJ (2018) Adversarial transfer learning. arXiv preprint arXiv:1812.02849

3. Yarowsky D (1995) Unsupervised word sense disambiguation rivaling supervised methods. In: 33rd Annual Meeting of the Association for Computational Linguistics, pp. 189–196

4. Zhou Z-H, Li M (2005) Tri-training: exploiting unlabeled data using three classifiers. IEEE Transactions on knowledge and data engineering 17(11):1529–1541

5. Blitzer J, McDonald R, Pereira F (2006) Domain adaptation with structural correspondence learning. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp. 120–128

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