Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification

no code implementations • 7 Nov 2024 • Manuel Nunez Martinez, Sonja Schmer-Galunder, Zoey Liu, Sangpil Youm, Chathuri Jayaweera, Bonnie J. Dorr

The unchecked spread of digital information, combined with increasing political polarization and the tendency of individuals to isolate themselves from opposing political viewpoints, has driven researchers to develop systems for automatically detecting political bias in media.

Deep Learning Self-Learning

AMREx: AMR for Explainable Fact Verification

no code implementations • 2 Nov 2024 • Chathuri Jayaweera, Sangpil Youm, Bonnie Dorr

With the advent of social media networks and the vast amount of information circulating through them, automatic fact verification is an essential component to prevent the spread of misinformation.

Abstract Meaning Representation Claim Verification +2

DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection

no code implementations • 12 Jul 2024 • Sangpil Youm, Brodie Mather, Chathuri Jayaweera, Juliana Prada, Bonnie Dorr

DAHRS improves the accuracy of SRL projection without additional transformer-based machinery, beating XSRL in both human and automatic comparisons, and advancing beyond headwords to accommodate phrase-level SRL projection (e. g., EN-FR, EN-ES).

fr-en Hallucination +3