Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen
Abstract
Abstract 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.
Topics & Concepts
Computer scienceTaxonomy (biology)Natural language processingArtificial intelligenceState (computer science)State of artInformation retrievalData scienceBiologyBotanyAlgorithmTopic ModelingNatural Language Processing TechniquesSpeech and dialogue systems