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Found 6 papers, 2 papers with code
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media
Thus, an interesting approach has emerged: to perform automatic fact-checking by verifying whether an input claim has been previously fact-checked by professional fact-checkers and to return back an article that explains their decision.
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
The use of contrastive loss for representation learning has become prominent in computer vision, and it is now getting attention in Natural Language Processing (NLP).
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
The rise of Internet has made it a major source of information.
Transformers: "The End of History" for NLP?
Recent advances in neural architectures, such as the Transformer, coupled with the emergence of large-scale pre-trained models such as BERT, have revolutionized the field of Natural Language Processing (NLP), pushing the state of the art for a number of NLP tasks.
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
We describe our system for SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles.
Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification
It is widely accepted that factual data verification is a challenge even for the experts.
