Argument Role

Argument role, in the context of natural language processing, refers to the semantic relationship between an event or predicate and its participants. Current research focuses on leveraging argument role information to improve tasks like text summarization, particularly for complex documents such as legal opinions, by guiding model generation and reranking to better reflect the underlying argument structure. This work often employs graph-based models and pre-trained language models, aiming to enhance the accuracy and coherence of summaries. Improved understanding and modeling of argument roles has significant implications for various applications, including legal technology and information extraction, by enabling more accurate and insightful analysis of complex textual data.