COMPARATIVE EVALUATION OF THREE WIRELESS SENSOR NETWORK TRANSCEIVERS IN A HIGH RADIATION ENVIRONMENT




Improving Low-Resource Chinese Named Entity Recognition Using Bidirectional Encoder Representation from Transformers and Lexicon Adapter

Due to their individual advantages, the integration of lexicon information and pre-trained models like BERT has been widely adopted in Chinese sequence labeling tasks.However, given their high demand for training data, efforts have been made to enhance their performance in low-resource scenarios.Currently, certain specialized domains, such as agric

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