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Chinese clinical named entity recognition via multi|head self ...


Chinese clinical named entity recognition via multi-head self ...

A multi-head self-attention based Bi-directional Long Short-Term Memory Conditional Random Field (MUSA-BiLSTM-CRF) model is proposed.

Chinese clinical named entity recognition via multi-head ... - PubMed

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif Intell Med. 2022 May:127:102282. doi: 10.1016/j.artmed ...

Chinese clinical named entity recognition via multi-head self ...

AbstractClinical named entity recognition (CNER) is a fundamental step for many clinical Natural Language Processing (NLP) systems, which aims to recognize ...

Chinese clinical named entity recognition via multi-head self ...

... Similar Articles; Funding. Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. An Y 1 ,. Xia X 2 ,. Chen X 1 ,. Wu FX 3 ...

Entity recognition of Chinese medical text based on multi-head self ...

Named entities are the main carriers of relevant medical knowledge in Electronic Medical Records (EMR). Clinical electronic medical records lead to problems ...

Chinese Clinical Named Entity Recognition Using Multi-Feature ...

Finally, we integrate the obtained global and local features, and employ multi-head attention mechanism (MHA) extraction to enhance the model's ...

Chinese clinical named entity recognition via multi-head self ...

DOI: 10.1016/j.artmed.2022.102282) This article is published in Artificial Intelligence in Medicine. The article was published on 01 May 2022.

Chinese clinical named entity recognition via multi-head ... - Altmetric

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF · Artificial Intelligence in Medicine, March 2022 · 10.1016/j.artmed.

A multi-layer soft lattice based model for Chinese clinical named ...

Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical ...

Chinese clinical named entity recognition with radical-level feature ...

Index terms have been assigned to the content through auto-classification. Recommendations. Chinese clinical named entity recognition via multi-head self- ...

Entity recognition in Chinese clinical text using attention-based CNN ...

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF · Computer Science, Medicine. Artif. Intell. Medicine · 2022.

Entity recognition of Chinese medical text based on multi-head self ...

A Clinical Named Entity Recognition (CNER) model based on multi-head self-attention combined with BILSTM neural network and Conditional Random Fields is ...

Multi-task learning for Chinese clinical named entity recognition with ...

[10] showed the effectiveness of using dictionary features in the BiLSTM model, which is conducive to better process the rare clinical entities.

Entity recognition of Chinese medical text based on multi-head self ...

PDF | Named entities are the main carriers of relevant medical knowledge in Electronic Medical Records (EMR). Clinical electronic medical records lead.

Chinese clinical named entity recognition with variant neural ...

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF · Computer Science, Medicine. Artif. Intell. Medicine · 2022.

Chinese Medical Named Entity Recognition Based on Context ...

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Med. 2022, 127, 102282. [Google Scholar] [CrossRef] ...

Chinese clinical named entity recognition with radical-level feature ...

Liu, et al., Safe Medicine Recommendation via Medical Knowledge Graph Embedding, 2017. arXiv preprint arXiv: 1710.05980. Saha, Named entity recognition and ...

A self-attention based neural architecture for Chinese medical ...

self-attention, · ELMo, · named entity recognition, · Chinese electronic medical records, · natural language processing.

Chinese Clinical Named Entity Recognition From Electronic Medical ...

The contributions of this study are as follows: (1) using pretrained language model (PLM) Robustly Optimized Bidirectional Encoder ...

Chinese clinical named entity recognition via multi-head self ...

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF.