  This literature review gives an overview of current approaches to perform
domain adaptation in a low-resource and approaches to perform multilingual
semantic search in a low-resource setting. We developed a new typology to
cluster domain adaptation approaches based on the part of dense textual
information retrieval systems, which they adapt, focusing on how to combine
them efficiently. We also explore the possibilities of combining multilingual
semantic search with domain adaptation approaches for dense retrievers in a
low-resource setting.
