17 citations · 55 across the 9 of their papers we have counts for
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cs.CL2022★ 1 cited
Probabilistic Embeddings with Laplacian Graph Priors
Väinö Yrjänäinen, Måns Magnusson
We introduce probabilistic embeddings using Laplacian priors (PELP). The proposed model enables incorporating graph side-information into static word embeddings. We theoretically s…
cs.CL2019★ 1 cited
Interpretable Word Embeddings via Informative Priors
Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson
Word embeddings have demonstrated strong performance on NLP tasks. However, lack of interpretability and the unsupervised nature of word embeddings have limited their use within co…