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cs.CL2021
Evaluating Word Embeddings with Categorical Modularity
Sílvia Casacuberta, Karina Halevy, Damián E. Blasi
We introduce categorical modularity, a novel low-resource intrinsic metric to evaluate word embedding quality. Categorical modularity is a graph modularity metric based on the -…
cs.DS2021
Faster Sparse Matrix Inversion and Rank Computation in Finite Fields
Sílvia Casacuberta, Rasmus Kyng
We improve the current best running time value to invert sparse matrices over finite fields, lowering it to an expected time for the current values of fast…