Extracting representations from pre-trained supervised models enriches word embeddings with task and domain knowledge, improving transfer learning in cross-task, cross-domain, and cross-lingual NLP settings particularly under low-resource conditions.
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Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
Extracting representations from pre-trained supervised models enriches word embeddings with task and domain knowledge, improving transfer learning in cross-task, cross-domain, and cross-lingual NLP settings particularly under low-resource conditions.