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A manually-corrected version of the OCR'd Latin text of H.T. Riley's 'Dictionary of Latin and Greek Quotations, Proverbs, Maxims and Mottos, Classical and Mediaeval. Including Law Terms and Phrases', 1891.
The Ptidej tool suite to evaluate and enhance the quality of object-oriented programs, promoting the use of patterns, at the language-, design-, or architectural-levels
BERT and RoBERTa models fine-tuned on the MNLI dataset, optimized for binary entailment/non-entailment classification. Additionally, their performance is explored in handling figurative language.
This project pioneers advancements in Natural Language Processing (NLP) by introducing a deep neural network approach to address challenges in interpreting multi-word sentences, detecting idioms, and classifying text. Focusing on text classification, it evaluates various models, with BERT outperforming others with an F1 score of 0.7980.