https://github.com/DeFacto/WebCredibility
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
Papers with Code 아카이브
Fact Checking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 7
- 보존된 평가 기록
- 19
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DevSinghSachan/unsupervised-passage-reranking
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/ENSTA-U2IS-AI/torch-uncertainty
https://github.com/ExploringLies/lies-have-short-legs
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/Harsh-Jaiswal/FakeNewsDetection
TI-CNN: Convolutional Neural Networks for Fake News Detection
https://github.com/IKMLab/CFEVER-data
https://github.com/IvanIsCoding/GNN-for-Combinatorial-Optimization
https://github.com/JelenaBanjac/AppliedDataAnalysis
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/JelenaBanjac/lies-have-short-legs
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/Kanaderu/nlp_credibility
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
https://github.com/Komal7209/BackUp-Twitter-Sentiment-Analysis-
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
https://github.com/Komal7209/Covid19TwitterSentiment-Analysis
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
https://github.com/LiamMaclean216/Pytorch-Transfomer
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
https://github.com/MindCode-4/code-7/tree/main/misinfo-reaction-frames
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines
https://github.com/NVIDIA/FasterTransformer
Factuality Enhanced Language Models for Open-Ended Text Generation
https://github.com/ShyamSubramanian/HESM
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
https://github.com/SindhuMadi/FakeNewsDetection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/Sujit-O/pykg2vec
https://github.com/YingtongDou/GCNN
Fake News Detection on Social Media using Geometric Deep Learning
https://github.com/ZIZUN/MAFiD
A Multi-Level Attention Model for Evidence-Based Fact Checking
https://github.com/aikochou/citationdetective
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
https://github.com/akash1014/IBM_Hack_2020
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/allenai/scifact-evaluator
https://github.com/ankitp544/stance_detection
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/atulkumarin/DeClare
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
https://github.com/bedarkarpriyanka/NLP-Project-Fake-News-Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/beir-cellar/beir
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
https://github.com/bekou/evidence_aware_nlp4if
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bunsenfeng/factkb
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
https://github.com/cair/PyTsetlinMachineCUDA
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/TsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineMT
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineParallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.