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Found 3 papers, 2 papers with code
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Our CTGCN architecture is based on a causal discovery mechanism, and is capable of discovering the underlying causal processes.
Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based Sentiment
This paper uses textual data contained in certified (q-graded) coffee reviews to predict corresponding scores on a scale from 0-100.
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Despite extensive recent advances in summary generation models, evaluation of auto-generated summaries still widely relies on single-score systems insufficient for transparent assessment and in-depth qualitative analysis.
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