GATE Teamware: a web-based, collaborative text annotation framework-Reference-Cited by-同舟云学术

GATE Teamware: a web-based, collaborative text annotation framework

Published:2013-02-02 Issue:4 Volume:47 Page:1007-1029
ISSN:1574-020X
Container-title:Language Resources and Evaluation
language:en
Short-container-title:Lang Resources & Evaluation

Author:

Bontcheva Kalina,Cunningham Hamish,Roberts Ian,Roberts Angus,Tablan Valentin,Aswani Niraj,Gorrell Genevieve

Abstract

Abstract This paper presents GATE Teamware—an open-source, web-based, collaborative text annotation framework. It enables users to carry out complex corpus annotation projects, involving distributed annotator teams. Different user roles are provided (annotator, manager, administrator) with customisable user interface functionalities, in order to support the complex workflows and user interactions that occur in corpus annotation projects. Documents may be pre-processed automatically, so that human annotators can begin with text that has already been pre-annotated and thus making them more efficient. The user interface is simple to learn, aimed at non-experts, and runs in an ordinary web browser, without need of additional software installation. GATE Teamware has been evaluated through the creation of several gold standard corpora and internal projects, as well as through external evaluation in commercial and EU text annotation projects. It is available as on-demand service on GateCloud.net, as well as open-source for self-installation.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10579-013-9215-6.pdf

Reference28 articles.

1. ACE. (2004). Annotation guidelines for event detection and characterization (EDC). Available at http://www.ldc.upenn.edu/Projects/ACE/.

2. Agatonovic, M., Aswani, N., Bontcheva, K., Cunningham, H., Heitz, T., Li, Y., et al. (2008). Large-scale, parallel automatic patent annotation. In Proceedings of the 1st ACM workshop on patent information retrieval (PaIR ’08), pp. 1–8.

3. Berck, P., & Russel, A. (2006). Annex a web-based framework for exploiting annotated media resources. In Proceedings of the fifth international conference on language resources and evaluation.

4. Brugman, H., & Russel, A. (2004). Annotating multi-media/multi-modal resources with elan. In Proceedings of the fourth international conference on language resources and evaluation.

5. Brugman, H., Crasborn, O., & Russel, A. (2004). Collaborative annotation of sign language data with peer-to-peer technology. In Proceedings of LREC.

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