Papers by Sílvia Casacuberta

1 papers
Evaluating Word Embeddings with Categorical Modularity (2021.findings-acl)

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Challenge: Existing word embeddings use different bilingual supervision signals with varying levels of strength.
Approach: They propose a graph modularity metric to measure word embedding quality . they use a set of 500 words belonging to 59 neurobiologically motivated semantic categories .
Outcome: The proposed metric measures word embedding quality on monolingual and cross-lingual tasks.

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