BRAT: a web-based tool for NLP-assisted text annotation

Authors:
Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta;Sophia Ananiadou;Jun'ichi Tsujii
Affiliations:
The University of Tokyo, Tokyo, Japan;University of Manchester, Manchester, UK;The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan and University of Manchester, Manchester, UK;University of Manchester, Manchester, UK;Microsoft Research Asia, Beijing, People's Republic of China
Venue:
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Year:
2012

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Abstract

We introduce the brat rapid annotation tool (BRAT), an intuitive web-based tool for text annotation supported by Natural Language Processing (NLP) technology. BRAT has been developed for rich structured annotation for a variety of NLP tasks and aims to support manual curation efforts and increase annotator productivity using NLP techniques. We discuss several case studies of real-world annotation projects using pre-release versions of BRAT and present an evaluation of annotation assisted by semantic class disambiguation on a multicategory entity mention annotation task, showing a 15% decrease in total annotation time. BRAT is available under an open-source license from: http://brat.nlplab.org