FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop

12 September 2021

Papers citing "FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop"

8 / 8 papers shown

Title
Dissonance Between Human and Machine Understanding Zijian Zhang Jaspreet Singh U. Gadiraju Avishek Anand 76 74 0 18 Jan 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 45 51 0 11 Jan 2021
Explainable Automated Fact-Checking: A Survey Neema Kotonya Francesca Toni 39 117 0 07 Nov 2020
A study on the Interpretability of Neural Retrieval Models using DeepSHAP Zeon Trevor Fernando Jaspreet Singh Avishek Anand FAtt AAML 28 68 0 15 Jul 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 64 213 0 20 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 966 93,936 0 11 Oct 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 113 1,633 0 14 Mar 2018
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 87 809 0 13 Jun 2016