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Found 3 papers, 2 papers with code
Enhancing Sentiment Analysis Results through Outlier Detection Optimization
By employing both a small-sized language model (DistilBERT base model with 66 million parameters) and non-deep learning machine learning algorithms (decision tree, KNN, Logistic Regression, and LDA) as the classifier, our findings suggest that the removal of outliers can lead to enhanced results in most cases.
Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation
Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities.
Visual Story Generation Based on Emotion and Keywords
Automated visual story generation aims to produce stories with corresponding illustrations that exhibit coherence, progression, and adherence to characters' emotional development.
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