Field of Study:

Domain Adaptation refers to the process of modifying a model trained on one domain (source domain) to perform better on a different, but related domain (target domain). This is often necessary because the language use, terms, and context can vary greatly between different domains, causing a model trained on one domain to perform poorly on another. Domain adaptation techniques aim to overcome this issue and improve the model's performance on the target domain.