1 citations · 2 across the 3 of their papers we have counts for
3 papers
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Abigail Langbridge, Fearghal O'Donncha, Amadou Ba +3
Many large-scale applications can be elegantly represented using graph structures. Their scalability, however, is often limited by the domain knowledge required to apply them. To a…
Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based Sentiment
Christopher Lohse, Jeroen Lemsom, Athanasios Kalogiratos
This paper uses textual data contained in certified (q-graded) coffee reviews to predict corresponding scores on a scale from 0-100. By transforming this highly specialized and sta…
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Ben Schaper, Christopher Lohse, Marcell Streile +2
Despite extensive recent advances in summary generation models, evaluation of auto-generated summaries still widely relies on single-score systems insufficient for transparent asse…