Medical Named Entity Recognition for Indonesian Language Using Word Representations

International Conference on Information Technology and Digital Applications 2017

计算机科学

Rahman, Arief^1

School of Electrical Engineering and Informatics (SEEI), Institut Teknologi Bandung, Indonesia^1

关键词: Cluster-based;    Distributed representation;    Indonesian languages;    Medical information;    Medical knowledge;    Named entity recognition;    Social media;    Word representations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/325/1/012026/pdf
DOI  :  10.1088/1757-899X/325/1/012026

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Nowadays, Named Entity Recognition (NER) system is used in medical texts to obtain important medical information, like diseases, symptoms, and drugs. While most NER systems are applied to formal medical texts, informal ones like those from social media (also called semi-formal texts) are starting to get recognition as a gold mine for medical information. We propose a theoretical Named Entity Recognition (NER) model for semi-formal medical texts in our medical knowledge management system by comparing two kinds of word representations: cluster-based word representation and distributed representation.