FAKTA: An Automatic End-to-End Fact Checking System

Abstract

We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability, stance detection of documents with respect to given claims, evidence extraction, and linguistic analysis. FAKTA predicts the factuality of given claims and provides evidence at the document and sentence level to explain its predictions

Accepted to NAACL '19

References in corpus (1)

• A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

Cited by in corpus (3)

• Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection
• Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
• WhatTheWikiFact: Fact-Checking Claims Against Wikipedia