Mar 24, 2023 · In this article, we propose MTLWT, a Transformer-based NER model that applies multi-task learning on individual layers of Transformer and ...
Nov 4, 2023 · In this paper, we propose M ulti- T ask L abel- W ise T ransformer (MTLWT). From a global perspective, we assign entity boundary prediction (EBP) ...
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Mar 20, 2023 · This paper proposes a multi-task Transformer, which incorporates an entity boundary detection task into the named entity recognition task.
Missing: wise Chinese
Dec 31, 2021 · Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied ...
Mar 24, 2023 · Benefiting from the improvement of positional encoding and the introduction of lexical knowledge, Transformer has achieved superior ...
Dec 31, 2021 · In the present study, we systematically evaluated the performance of our method in three Chinese clinical datasets. Go to: Materials and methods.
Therefore,a Chinese named entity recognition model integrating label information is proposed in this paper.Firstly,the embedding representation of characters is ...
A novel fully-shared multi-task learning model based on the pre-trained language model in biomedical domain, namely BioBERT, with a new attention module to ...
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition · Named Entity Recognition with Small Strongly Labeled and Large ...
Multi-Task Label-Wise Transformer for Chinese Named Entity Recognition ... named entity recognition (NER) task. However, existing Transformer-based models for ...