Generative pre-trained transformers (GPT) have recently demonstrated excellent
performance in various natural language tasks. The development of ChatGPT and the …

The study of argumentation is transversal to several research domains, from philosophy to
linguistics, from the law to computer science and artificial intelligence. In discourse analysis …

The successful application of argument mining in the legal domain can dramatically impact
many disciplines related to law. For this purpose, we present Demosthenes, a novel corpus …

Argument Mining (AM) is a unique task in Natural Language Processing (NLP) that targets
arguments: a meaningful logical structure in human language. Since the argument plays a …

In this paper, we propose a knowledge-based service architecture for legal document
building based on Natural Language Processing and learning techniques, to semantically …

The availability of annotated legal corpora is crucial for a number of tasks, such as legal
search, legal information retrieval, and predictive justice. Annotation is mostly assumed to be …

The study explores methods for extracting argument relations from texts using large
generative language models. Experiments were conducted on a Russian-language corpus …

요 약최근 인공지능 기술의 발전으로 법률 및 수사 분야에서 자연어 처리 기술 활용이 증가하고
있다. 수사분야에서는 형사소송법이 개정됨에 따라 증거 기반의 논리적 논증이 중요시되고 …