Argument Detection

Argument detection, the task of identifying and analyzing arguments within text, aims to understand the structure and content of persuasive discourse. Current research focuses on improving argument detection beyond sentence boundaries, encompassing the identification of argument existence, topic, and stance, often leveraging large language models and techniques like textual entailment and latent graph integration. These advancements are improving the accuracy and comprehensiveness of argument mining across diverse contexts, with applications ranging from social media analysis to facilitating more effective communication and information retrieval. The development of robust and versatile argument detection systems holds significant potential for various fields, including linguistics, computer science, and the social sciences.