Published March 14, 2020 | Version v1
Dataset Open

Modeling Factual Claims with Semantic Frames

  • 1. University of Texas at Arlington

Description

We introduce an extension of the Berkeley FrameNet for the structured and semantic modeling of factual claims. Modeling is a robust tool that can be leveraged in many different tasks such as matching claims to existing fact-checks and translating claims to structured queries. Our work introduces 11 new manually crafted frames along with 9 existing FrameNet frames, all of which have been selected with fact-checking in mind. Along with these frames, we are also providing 2,540 fully annotated sentences, which can be used to understand how these frames are intended to work and to train machine learning models. 

Files

Comparing_at_two_different_points_in_time.xml

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