Domain Adaptation of Multilingual Semantic Search -- Literature Review
This is an incremental review paper that organizes existing research for practitioners working on multilingual semantic search in resource-constrained domains.
This literature review examines domain adaptation and multilingual semantic search approaches in low-resource settings, developing a new typology to cluster domain adaptation methods for dense retrieval systems and exploring their combination with multilingual search.
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.