Papers by Sílvia Casacuberta
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. |