Towards explainable and semantically coherent claim extraction for an automated fact-checker

• المؤلف الرئيسي: Yoswara, Jocelyn Valencia
• مؤلفون آخرون: Erry Gunawan
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Engineering; Natural language processing; Large language models; Claim extraction; Automatic fact checker; Machine learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176481
• المؤسسة: Nanyang Technological University

Misinformation and fake news spread everywhere through online social media platforms. Although Automatic Fact-Checkers and LLMs like ChatGPT have become popular and seem to be a promising solution to detect fake news, these models still have some limitations regarding their reliance on pre-existing...