Extractive and Abstractive Explanations for Fact-Checking and Evaluation
of News

Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News

27 April 2021

Verónica Pérez-Rosas

Papers citing "Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News"

9 / 9 papers shown

Title
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions Poojitha Thota Shirin Nilizadeh 31 2 0 26 Oct 2024
Generating Zero-shot Abstractive Explanations for Rumour Verification I. Bilal Preslav Nakov Rob Procter M. Liakata 19 0 0 23 Jan 2024
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI Houjiang Liu Anubrata Das Alexander Boltz Didi Zhou Daisy Pinaroc Matthew Lease Min Kyung Lee HAI 25 16 0 14 Aug 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models Oana Ignat Zhijing Jin Artem Abzaliev Laura Biester Santiago Castro ... Verónica Pérez-Rosas Siqi Shen Zekun Wang Winston Wu Rada Mihalcea LRM 36 6 0 21 May 2023
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models Barry Menglong Yao Aditya Shah Lichao Sun Jin-Hee Cho Lifu Huang MLLM LRM 38 78 0 25 May 2022
Matching Tweets With Applicable Fact-Checks Across Languages Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Scott A. Hale Rada Mihalcea 28 16 0 14 Feb 2022
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking Archita Pathak R. Srihari HILM 20 1 0 02 Nov 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 218 248 0 19 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018