Teach me to explain: A review of datasets for explainable natural language processing
S Wiegreffe, A Marasović - arXiv preprint arXiv:2102.12060, 2021 - arxiv.org
Explainable NLP (ExNLP) has increasingly focused on collecting human-annotated textual
explanations. These explanations are used downstream in three ways: as data …
explanations. These explanations are used downstream in three ways: as data …
Automated fact‐checking: A survey
X Zeng, AS Abumansour… - Language and Linguistics …, 2021 - Wiley Online Library
As online false information continues to grow, automated fact‐checking has gained an
increasing amount of attention in recent years. Researchers in the field of Natural Language …
increasing amount of attention in recent years. Researchers in the field of Natural Language …
A survey on automated fact-checking
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …
information and misinformation can spread in the modern media ecosystem. Therefore …
Fact or fiction: Verifying scientific claims
We introduce scientific claim verification, a new task to select abstracts from the research
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …
Explainable automated fact-checking for public health claims
Fact-checking is the task of verifying the veracity of claims by assessing their assertions
against credible evidence. The vast majority of fact-checking studies focus exclusively on …
against credible evidence. The vast majority of fact-checking studies focus exclusively on …
Feverous: Fact extraction and verification over unstructured and structured information
Fact verification has attracted a lot of attention in the machine learning and natural language
processing communities, as it is one of the key methods for detecting misinformation …
processing communities, as it is one of the key methods for detecting misinformation …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
DS Nielsen, R McConville - Proceedings of the 45th international ACM …, 2022 - dl.acm.org
Misinformation is becoming increasingly prevalent on social media and in news articles. It
has become so widespread that we require algorithmic assistance utilising machine …
has become so widespread that we require algorithmic assistance utilising machine …
COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic
We introduce a FEVER-like dataset COVID-Fact of $4,086 $ claims concerning the COVID-
19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims …
19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims …
The state of human-centered NLP technology for fact-checking
Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …
narratives in public health, heightening social polarization, and disrupting democratic …