In this paper we present recent work on GATE, a widely-used framework and graphical development environment for creating and deploying Language Engineering components and resources in a robust fashion. The GATE architecture has facilitated the development of a number of successful applications for various language processing tasks (such as Information Extraction, dialogue and summarisation), the building and annotation of corpora and the quantitative evaluations of LE applications. The focus of this paper is on recent developments in response to new challenges in Language Engineering: Semantic Web, integration with Information Retrieval and data mining, and the need for machine learning support.
%0 Journal Article
%1 BontchevaTablanEtAl04nle
%A Bontcheva, Kalina
%A Tablan, Valentin
%A Maynard, Diana
%A Cunningham, Hamish
%D 2004
%J Natural Language Engineering
%K v1205 paper ai language processing interaction user interface information retrieval development tool semantic web ontology
%N 3/4
%P 349-373
%R 10.1017/S1351324904003468
%T Evolving GATE to Meet New Challenges in Language Engineering
%V 10
%X In this paper we present recent work on GATE, a widely-used framework and graphical development environment for creating and deploying Language Engineering components and resources in a robust fashion. The GATE architecture has facilitated the development of a number of successful applications for various language processing tasks (such as Information Extraction, dialogue and summarisation), the building and annotation of corpora and the quantitative evaluations of LE applications. The focus of this paper is on recent developments in response to new challenges in Language Engineering: Semantic Web, integration with Information Retrieval and data mining, and the need for machine learning support.
@article{BontchevaTablanEtAl04nle,
abstract = {In this paper we present recent work on GATE, a widely-used framework and graphical development environment for creating and deploying Language Engineering components and resources in a robust fashion. The GATE architecture has facilitated the development of a number of successful applications for various language processing tasks (such as Information Extraction, dialogue and summarisation), the building and annotation of corpora and the quantitative evaluations of LE applications. The focus of this paper is on recent developments in response to new challenges in Language Engineering: Semantic Web, integration with Information Retrieval and data mining, and the need for machine learning support.},
added-at = {2012-05-30T10:43:21.000+0200},
author = {Bontcheva, Kalina and Tablan, Valentin and Maynard, Diana and Cunningham, Hamish},
biburl = {https://www.bibsonomy.org/bibtex/2730b428d2acc2b1617d71b63a16f75b9/flint63},
doi = {10.1017/S1351324904003468},
file = {Preprint:2000-04/BontchevaTablanEtAl04nle.pdf:PDF},
groups = {public},
interhash = {448262297224529e690bde92800ba688},
intrahash = {730b428d2acc2b1617d71b63a16f75b9},
issn = {1351-3249},
journal = {Natural Language Engineering},
keywords = {v1205 paper ai language processing interaction user interface information retrieval development tool semantic web ontology},
number = {3/4},
pages = {349-373},
timestamp = {2018-04-16T12:33:48.000+0200},
title = {Evolving {GATE} to Meet New Challenges in Language Engineering},
username = {flint63},
volume = 10,
year = 2004
}