Hybrid Search based Enhanced Named Entity Annotation Tool

Abstract

Identifying named entities is a crucial step in extracting information from text. Training NER models usually require annotated data. Human annotators spend a lot of time and effort annotating large datasets. In this paper, we introduce a novel hybrid search-based enhanced annotation tool. The annotation tool provides an easy-to-use GUI and several search modes to accelerate the annotation exercise. Users can look for similar text and terms and annotate the information in the results. We demonstrate the utility of our tool and evaluate our tool in comparison with other tools. We show that it provides faster annotation than typical annotators and comparable performance with state-of-the-art tools.