Named Entity Recognition using Ensemble Learning

Abstract

Upgrading Industry 4.0 to 5.0 provides numerous research opportunities for the industrialists and researchers. This industrial revolution cross the peak of automation in the life science domain. In this digitalized world, big data plays a key role to provide the valuable insights by using various analytical methods. In life science, available of huge textual data contains wide spread of valuable information. To extract the hidden information from the big data, natural language processing plays a major and significant role. In NLP, named entity recognition is one of the key factor and biggest challenge for the research community. This paper presents the high level architecture of NER using ensemble learning method. The EL model contains a dictionary based entity identifier and a self learning classifier. Proposed model outperformed well and produced high accuracy.