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WebAs all the results gained from WeiBoNER and MSRA data sets by ASAIBC model are better than traditional algorithms, this paper conducts an experiment on the data set of Xinjiang local named entity recognition of adverse drug reactions (XJADRNER) based on manual labeling, with the accuracy, precision, recall and F-Score value being 98.97%, 91.01%, … http://www.micv.info/mario.php good restaurants in downtown cincinnati

Intoduction to Deep Adversarial Transfer

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WebAdversarial Transfer Learning network is introduced to fully utilize the boundary of Chinese word segmentation tasks (CWS) and NER tasks for information sharing and shows that … Web20 mar 2024 · For deep learning’s insufficient learning ability of a small amount of data in the Chinese named entity recognition based on deep learning, this paper proposes a named entity recognition of local adverse drug reactions based on Adversarial Transfer Learning, and constructs a neural network model ASAIBC consisting of Adversarial Transfer …

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