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

06/07/2019
by   Moin Nadeem, et al.
0

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

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/27/2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking

The increased focus on misinformation has spurred development of data an...
research
04/21/2018

Integrating Stance Detection and Fact Checking in a Unified Corpus

A reasonable approach for fact checking a claim involves retrieving pote...
research
12/10/2021

Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification

Accurate evidence retrieval is essential for automated fact checking. Li...
research
10/15/2021

DialFact: A Benchmark for Fact-Checking in Dialogue

Fact-checking is an essential tool to mitigate the spread of misinformat...
research
04/05/2022

Fact Checking with Insufficient Evidence

Automating the fact checking (FC) process relies on information obtained...
research
04/28/2021

AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking

With the continuing spread of misinformation and disinformation online, ...
research
02/18/2022

Synthetic Disinformation Attacks on Automated Fact Verification Systems

Automated fact-checking is a needed technology to curtail the spread of ...

Please sign up or login with your details

Forgot password? Click here to reset