Author:
MAYNARD DIANA,TABLAN VALENTIN,CUNNINGHAM HAMISH,URSU CRISTIAN,SAGGION HORACIO,BONTCHEVA KALINA,WILKS YORICK
Abstract
We discuss robustness in LE systems from the perspective of engineering, and the predictability
of both outputs and construction process that this entails. We present an architectural system
that contributes to engineering robustness and low-overhead systems development (GATE, a
General Architecture for Text Engineering). To verify our ideas we present results from the
development of a multi-purpose cross-genre Named Entity recognition system. This system
aims be robust across diverse input types, and to reduce the need for costly and timeconsuming adaptation of systems to new applications, with its capability to process texts
from widely differing domains and genres.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software
Cited by
40 articles.
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