Framework using abstract grammar transformations, theory-based algorithms, and graph-inspired canonization to detect and explain (in-)equivalence of context-free grammars, evaluated on educational datasets.
Introduction to Iltis: an interactive, web-based system for teaching logic
2 Pith papers cite this work. Polarity classification is still indexing.
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LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.
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Detecting and Explaining (In-)equivalence of Context-Free Grammars
Framework using abstract grammar transformations, theory-based algorithms, and graph-inspired canonization to detect and explain (in-)equivalence of context-free grammars, evaluated on educational datasets.
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Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.