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Performance analysis of large language models in the domain of legal argument mining [PDF]
Frontiers in Artificial Intelligence, 2023 Generative pre-trained transformers (GPT) have recently demonstrated excellent performance in various natural language tasks. The development of ChatGPT and the recently released GPT-4 model has shown competence in solving complex and higher-order ...
Abdullah Al Zubaer +3 more
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Argument Mining: A Survey [PDF]
Computational Linguistics, 2020 Argument mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language.
Lawrence, John, Reed, Chris
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Fusion weighted features and BiLSTM-attention model for argument mining of EFL writing [PDF]
Frontiers in Psychology, 2023 Argument mining (AM), an emerging field in natural language processing (NLP), aims to automatically extract arguments and the relationships between them in texts. In this study, we propose a new method for argument mining of argumentative essays.
Jincai Yang, Meng Zheng, Yingliang Liu
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Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence [PDF]
Frontiers in Public Health, 2022 BackgroundThe COVID-19 pandemic prompted the scientific community to share timely evidence, also in the form of pre-printed papers, not peer reviewed yet.PurposeTo develop an artificial intelligence system for the analysis of the scientific literature by
Gianfranco Brambilla +9 more
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Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks [PDF]
Journal of Data Mining and Digital Humanities, 2022 The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of complex annotation work in many interdisciplinary research areas, for ...
Gechuan Zhang, Paul Nulty, David Lillis
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Research Advances in Argument Mining [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] Argument mining, a research hotspot in the field of computational linguistics, provides machine processable structured data for computational models of argument. Argument mining tasks are closely related to artificial intelligence (
LI Jiao, ZHAO Ruixue, XIAN Guojian, HUANG Yongwen, SUN Tan
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End-to-end Argument Mining with Cross-corpora Multi-task Learning
Transactions of the Association for Computational Linguistics, 2022 Mining an argument structure from text is an important step for tasks such as argument search and summarization. While studies on argument(ation) mining have proposed promising neural network models, they usually suffer from a shortage of training data ...
Gaku Morio +3 more
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Perception and argumentation in the LK-99 superconductivity controversy: a sentiment and argument mining analysis [PDF]
Scientific ReportsThe announcement of LK-99 as a potential room-temperature, ambient-pressure superconductor sparked widespread debate across both traditional news outlets and social media platforms.
Eunhye Kim, Wei Luo, Hunkoog Jho
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Argumentation Mining in User-Generated Web Discourse
Computational Linguistics, 2016 The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways.
Ivan Habernal, Iryna Gurevych
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Unveiling the Argumentative Nature of Meta-Analysis in Applied Linguistics: An Argument-Mining Approach [PDF]
Journal of Modern Research in English Language Studies, 2023 Despite paradigmatic research advancements and movements in applied linguistics, the issue of rhetoric, which serves as one of the fundamental pillars of each paradigm, remains largely unaccounted for. Considering the commensurability of argumentation
Arsalan Yaghoubi +3 more
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