To resolve this problem, a Chinese medical named entity recognition model LENER based on local enhancement was proposed. Firstly, the representation of characters was enriched by LENER utilizing multi-source information, including phonetic, graphic and semantic feature...
Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the application results of NER methods in Chinese electronic medical records (EMRs) are not satisfactory...
Medical named entity recognition (NER) in Chinese electronic medical records (CEMRs) has drawn much research attention, and plays a vital prerequisite role for extracting high-value medical information. In 2018, China Health Information Processing Conference (CHIP2018) organized a medical NER academic...
medical NER 数据来源与预处理 数据来源 万方医学期刊论文题录数据(题名,关键词) 预定义实体 字符角色定义 BIESO B,即Begin,表示开始 I,即Intermediate,表示中间 E,即End,表示结尾 S,即Single,表示单个字符 O,即Other,表示其他,用于标记无关字符 如果考虑医学领域的特点,可细分为: TREATMENT 治疗方式 BODY 身体部...
Named entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in clinical texts, because Chinese electronic medical records have a special text structure and voca...
Weiji Wang seeks master degree in school of philosophy, psychology & language science, University of Edinburgh, majoring in speech and language processing and dedicates to medical knowledge graph construction, medical named entity recognition.
master BranchesTags Code README Chinese_medical_NLP 医疗NLP领域(主要关注中文) 评测数据集 与 论文等相关资源。 中文数据集 1. Yidu-S4K:医渡云结构化4K数据集 数据集描述: Yidu-S4K 数据集源自CCKS 2019 评测任务一,即“面向中文电子病历的命名实体识别”的数据集,包括两个子任务: 1)医疗命名实体识别:由于...
[1] employed a BERT-BiLSTM-CRF architecture to extract named entities from Chinese electronic medical records. Few-shot NER addresses the challenge of data scarcity in NER tasks. Traditional approaches require a large number of labeled samples to train the model effectively. However, practical ...
Medical Entity Recognition and Attribute Extraction for Chinese EMR Dataset medicalentityrecognitionandattributeextractionforChineseEMR_datasets_test_datasets.7z medicalentityrecognitionandattributeextractionforChineseEMR_datasets_training_datasets.7z me
master BranchesTags Code README Chinese_medical_NLP 医疗NLP领域(主要关注中文) 评测数据集 与 论文等相关资源。 评测及比赛更新 说明: 这部分从2021.2.20开始更新。添加当时还未截止的中英文医疗相关的NLP评测或比赛。 MEDIQA-2021 来源: NAACL 2021 workshop ...