Experience of using GATE for NLP R&D

Authors:
Hamish Cunningham;Diana Maynard;Kalina Bontcheva;Valentin Tablan;Yorick Wilks
Affiliations:
University of Sheffield, UK;University of Sheffield, UK;University of Sheffield, UK;University of Sheffield, UK;University of Sheffield, UK
Venue:
Proceedings of the COLING-2000 Workshop on Using Toolsets and Architectures To Build NLP Systems
Year:
2000

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Abstract

GATE, a General Architecture for Text Engineering, aims to provide a software infrastructure for researchers and developers working in NLP. GATE has now been widely available for four years. In this paper we review the objectives which motivated the creation of GATE and the functionality and design of the current system. We discuss the strengths and weaknesses of the current system, identify areas for improvement.