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Found 2 papers, 1 papers with code
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
Prior works on evaluating factual consistency of summarization often take the entailment-based approaches that first generate perturbed (factual inconsistent) summaries and then train a classifier on the generated data to detect the factually inconsistencies during testing time.
Abstractive Text Summarization
Natural Language Inference
+1
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation
Disinformation has become a serious problem on social media.
