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Found 3 papers, 1 papers with code
Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization
In recent years, natural language inference has been an emerging research area.
For Generated Text, Is NLI-Neutral Text the Best Text?
We explore incorporating natural language inference (NLI) into the text generative pipeline by using a pre-trained NLI model to assess whether a generated sentence entails, contradicts, or is neutral to the prompt and preceding text.
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection
In addition, we demonstrate that a novel hybrid method that utilizes both a clfd-boosted logistic regression classifier and a deep learning one, clearly outperforms deep learning methods even in large datasets.
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