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

• Main Author: Yoswara, Jocelyn Valencia
• Other Authors: Erry Gunawan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Engineering; Natural language processing; Large language models; Claim extraction; Automatic fact checker; Machine learning
• Online Access: https://hdl.handle.net/10356/176481
• Institution: 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...