A Multi-Level Attention Model for Evidence-Based Fact Checking

Understand

Evidence-based fact checking aims to verify the truthfulness of a claim against evidence extracted from textual sources.

• Learning a representation that effectively captures relations between a claim and evidence can be challenging.
• Recent state-of-the-art approaches have developed increasingly sophisticated models based on graph structures.
• We present a simple model that can be trained on sequence structures.