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SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
[article]
2019
arXiv
pre-print
Traditional representations like Bag of words are high dimensional, sparse and ignore the order as well as syntactic and semantic information. Distributed vector representations or embeddings map variable length text to dense fixed length vectors as well as capture the prior knowledge which can transferred to downstream tasks. Even though embedding has become de facto standard for representations in deep learning based NLP tasks in both general and clinical domains, there is no survey paper
arXiv:1903.01039v3
fatcat:5d6lhm2x3zc3rbhfoefzqtngp4