SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 669 papers

TitleStatusHype
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims—0
TabFact: A Large-scale Dataset for Table-based Fact VerificationCode0
Machine Learning Approach to Fact-Checking in West Slavic Languages—0
Fact-Checking Meets Fauxtography: Verifying Claims About ImagesCode0
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction—0
Automatic Fact-Checking Using Context and Discourse InformationCode0
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking—0
ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter—0
BREAKING! Presenting Fake News Corpus for Automated Fact Checking—0
Explainable Fact Checking with Probabilistic Answer Set Programming—0
Seeing Things from a Different Angle: Discovering Diverse Perspectives about ClaimsCode0
FAKTA: An Automatic End-to-End Fact Checking System—0
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
Seeing Things from a Different Angle:Discovering Diverse Perspectives about ClaimsCode0
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums—0
TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters—0
YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums—0
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums—0
SemEval-2019 Task 8: Fact Checking in Community Question Answering ForumsCode0
Automated Fact Checking in the News Room—0
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking—0
Adversarial attacks against Fact Extraction and VERification—0
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's VerifiabilityCode0
Fake News Detection on Social Media using Geometric Deep LearningCode1
Adversarial Domain Adaptation for Stance Detection—0
Fake News Detection via NLP is Vulnerable to Adversarial AttacksCode0
Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates—0
An End-to-End Multi-task Learning Model for Fact Checking—0
The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityCode0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—0
Where is Your Evidence: Improving Fact-checking by Justification ModelingCode0
Suspicious News Detection Using Micro Blog TextCode0
Predicting Factuality of Reporting and Bias of News Media SourcesCode1
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningCode0
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the WebCode0
Verifying Text Summaries of Relational Data Sets—0
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake NewsCode0
Automated Fact Checking: Task formulations, methods and future directions—0
TI-CNN: Convolutional Neural Networks for Fake News DetectionCode0
Integrating Stance Detection and Fact Checking in a Unified Corpus—0
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All datasetsSciFact (BEIR)CLIMATE-FEVER (BEIR)FEVER (BEIR)AVeriTeC.CDCDLIAR2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.78—Unverified
2SGPT-BE-5.8BnDCG@100.75—Unverified
3BM25+CEnDCG@100.69—Unverified
4SGPT-CE-6.1BnDCG@100.68—Unverified
5ColBERTnDCG@100.67—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BnDCG@100.31—Unverified
2monoT5-3BnDCG@100.28—Unverified
3BM25+CEnDCG@100.25—Unverified
4SGPT-CE-6.1BnDCG@100.16—Unverified
#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.85—Unverified
2BM25+CEnDCG@100.82—Unverified
3SGPT-BE-5.8BnDCG@100.78—Unverified
4SGPT-CE-6.1BnDCG@100.73—Unverified
#ModelMetricClaimedVerifiedStatus
1HerOQuestion Only score0.48—Unverified
2CTU AICQuestion Only score0.46—Unverified
3InFactQuestion Only score0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Abc0..5sec2—Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CINPrecision0.26—Unverified
#ModelMetricClaimedVerifiedStatus
1FDHNAccuracy (Test)0.7—Unverified