Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
This work addresses the problem of unclear evaluation and progress in culturally aware NLP for researchers in the field, though it is incremental as it builds on prior research.
The authors tackled the lack of a shared understanding of 'culture' in NLP research by proposing a fine-grained taxonomy to systematically analyze progress, and they surveyed existing resources and methods to provide an overview of the state of the art and identify research gaps.
The surge of interest in "culture" in NLP has inspired much recent research, but a shared understanding of "culture" remains unclear, making it difficult to evaluate progress in this emerging area. Drawing on prior research in NLP and related fields, we propose a fine-grained taxonomy of elements in culture that can provide a systematic framework for analyzing and understanding research progress. Using the taxonomy, we survey existing resources and methods for culturally aware and adapted NLP, providing an overview of the state of the art and the research gaps that still need to be filled.