Quotation Attribution

Quotation attribution, the task of identifying who said what in text, is a crucial area of natural language processing with applications in literature analysis, news verification, and information retrieval. Current research focuses on improving the accuracy of quotation attribution using large language models (LLMs) and prompt learning techniques, often addressing challenges like data scarcity and the need to identify not only speakers but also addressees and contextual roles of quotes. These advancements are significant for enhancing the trustworthiness of information extracted from text and facilitating deeper analysis of human communication across diverse sources.