论文信息 - Experience using GATE for NLP R&D

Experience using GATE for NLP R&D

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.

Kalina Bontcheva | Diana Maynard | Valentin Tablan | Hamish Cunningham | Yorick Wilks

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