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

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

The model simultaneously fuses multi-feature representations of pinyin, radical, Part of Speech (POS), word boundary with BERT deep contextual ...

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

The model simultaneously fuses multi-feature representations of pinyin, radical, Part of Speech (POS), word boundary with BERT deep contextual ...

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

Chinese Clinical Named Entity Recognition (CNER) is a crucial step in extracting medical information and is of great significance in promoting medical ...

Chinese Named Entity Recognition method based on multi-feature ...

[36], the traditional pre-training language model “Bert-base-Chinese” is improved. According to the characteristics of Chinese characters, the ...

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

The named entity recognition (NER) is a form of multi-class sequence classification where the input is a sentence composed of a series of words and the output ...

Chinese Clinical Named Entity Recognition From Electronic Medical ...

Our proposed CNER method would mine the richer deep semantic information in EMRs by multisemantic embedding using RoBERTa-wwm and CNNs, ...

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

Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied ...

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

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

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

By introducing the multi-head self-attention and combining a medical dictionary, the model can more effectively capture the weight relationships between ...

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 Medical Named Entity Recognition Based on Context ...

Medical named entity recognition (NER) focuses on extracting and classifying key entities from medical texts. Through automated medical information ...

Chinese Clinical Named Entity Recognition From Electronic Medical ...

Subsequently, we converted Chinese characters into square images to obtain Chinese character image features from another modality by using a 2- ...

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

Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building ...

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 ...

Named Entity Recognition in Chinese Medical Literature Using ...

The medical literature contains valuable knowledge, such as the clinical symptoms, diagnosis, and treatments of a particular disease. Named Entity ...

(PDF) Multi-task learning for Chinese clinical named entity ...

Background Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can ...

Named Entity Recognition in Chinese Clinical Text Using Deep ...

A novel deep learning method to recognize clinical entities in Chinese clinical documents using the minimal feature engineering approach is investigated and ...

CMeEE Dataset - Papers With Code

Chinese Medical Named Entity Recognition, a dataset first released in CHIP20204, is used for CMeEE task. Given a pre-defined schema, the task is to identify ...

CMLNER: Chinese medical literature named entity recognition ...

Results: Compared with traditional NER methods, the proposed model could more effectively capture rich medical semantic features, global context ...

Clinical Named Entity Recognition From Chinese Electronic Health ...

Methods: The dataset we used for this study is the benchmark dataset with human annotated Chinese EHRs, released by the China Conference on ...