In machine learning-based systems, adapting to a new domain has traditionally involved acquiring additional labeled data and learning a new model from scratch.
recent work has proposed more sophisticated approaches that learn a domain-independent base model, which can later be adapted to specific domains (Florian et Figure 1: Example Customization Requirement Blitzer et al., 2006;Jiang and Zhai, 2006;Arnold et al., 2008;Wu et al., 2009).