A novel low-resource intrinsic metric to evaluate word embedding quality based on graph modularity.
Source: Evaluating Word Embeddings with Categorical ModularityPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Bilingual Lexicon Induction | 1 | 33.33% |
Sentiment Analysis | 1 | 33.33% |
Word Similarity | 1 | 33.33% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |