Discourse Processing

Discourse processing focuses on understanding how sentences and paragraphs connect to form coherent narratives, aiming to model the cognitive processes involved in comprehending text. Current research emphasizes developing computational models that capture hierarchical structures, prediction mechanisms, and the learning of event dynamics, often employing techniques like large language models and attention mechanisms to analyze discourse relations, both explicit and implicit. This work is significant for advancing our understanding of human language comprehension and has practical applications in areas such as natural language processing, improving writing assistance tools, and enhancing information retrieval systems.