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Wang et al [72] proposed a model for NER based on the LSTM-CRF model by storing and merging characters, words, and other features. However, as the text embedding process of this method is more complicated, it is necessary to create dictionaries of characters and words to obtain multigranularity text features at first and then store and merge the obtained features using a tree structure to achieve text embedding.
JMIR Med Inform 2023;11:e44597
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