Papers with disentangled embeddings
Explaining Word Embeddings via Disentangled Representation (2020.aacl-main)
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| Challenge: | Disentangled representations are known to represent interpretable factors in separated dimensions. |
| Approach: | They propose to transform dense word vectors into disentangled embeddings with improved interpretability by encoding polysemous semantics separately. |
| Outcome: | The proposed model can be encoded into multiple sub-embeddings or sub-areas and generates more efficient and effective features for natural language processing. |