UE-UD at NTCIR-12 MedNLPDoc Task

Technology is the tool that is being used in the various sectors of life and medical is one of them. Electronic medical records (EMR) are now widely used instead of physical documents. This paper aims to achieve continuing challenges of MedNLP task series in NTCIR-10 and 11. In these tasks, it already attempted named entity recognition (NER) and evaluated the term normalization technology from medical reports written in Japanese, whereas, this task are more advantage, practical and closer to reality application for the medical industry. This task divided into 2 subtasks: (Task1) Phenotyping task requires giving a standard disease names from given medical records, (Task2) creative task to make up ideas to utilize resulting products in the real world. This paper focuses on using tag of speech and improve NER to correctly get sequences of words string in order to achieve the ICD. The experimental result has not shown quite high performance (precision major: 9.6%, recall major: 4.4%, F-measure major: 6.0%). However, it strongly shows a promising result from an international non-speaking Japanese group. Subtasks: (1) Task1 (Phenotyping task) 1. INTRODUCTION There is no doubt about electronic medical records are replacing paper documents since the importance of technical development for analyzing given information increases rapidly. Therefore, the needs of applying communication technology in medical areas are strongly increasing by years.