Papers with structured regularization
Delta Embedding Learning (P19-1)
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| Challenge: | Unsupervised word embeddings have limitations to the semantics of words and inadequate fine-tuning of embedded word can lead to suboptimal performance. |
| Approach: | They propose a method that optimizes word embeddings by regularizing them incrementally to ensure they are tuned in an incremental way. |
| Outcome: | The proposed method improves performance on various NLP tasks and shows that it absorbs semantic information without "forging" |