Explaining word embeddings with perfect fidelity: Case study in research impact prediction

Best performing approaches for scholarly document quality prediction are based on embedding models, which do not allow direct explanation of classifiers as distinct words no longer correspond to the input features for model training. Although model-agnostic explanation methods such as Local interpre...

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Hauptverfasser:	Dvorackova, Lucie, Joachimiak, Marcin P, Cerny, Michal, Kubecova, Adriana, Sklenak, Vilem, Kliegr, Tomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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