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        <namePart type="given">Jan-Christoph</namePart>
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    <abstract>This paper describes an ecosystem consisting of three independent text annotation platforms. To demonstrate their ability to work in concert, we illustrate how to use them to address an interactive domain adaptation task in biomedical entity recognition. The platforms and the approach are in general domain-independent and can be readily applied to other areas of science.</abstract>
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%0 Conference Proceedings
%T A Multi-Platform Annotation Ecosystem for Domain Adaptation
%A Eckart de Castilho, Richard
%A Ide, Nancy
%A Kim, Jin-Dong
%A Klie, Jan-Christoph
%A Suderman, Keith
%Y Friedrich, Annemarie
%Y Zeyrek, Deniz
%Y Hoek, Jet
%S Proceedings of the 13th Linguistic Annotation Workshop
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F eckart-de-castilho-etal-2019-multi
%X This paper describes an ecosystem consisting of three independent text annotation platforms. To demonstrate their ability to work in concert, we illustrate how to use them to address an interactive domain adaptation task in biomedical entity recognition. The platforms and the approach are in general domain-independent and can be readily applied to other areas of science.
%R 10.18653/v1/W19-4021
%U https://aclanthology.org/W19-4021
%U https://doi.org/10.18653/v1/W19-4021
%P 189-194

Markdown (Informal)

[A Multi-Platform Annotation Ecosystem for Domain Adaptation](https://aclanthology.org/W19-4021) (Eckart de Castilho et al., LAW 2019)

• A Multi-Platform Annotation Ecosystem for Domain Adaptation (Eckart de Castilho et al., LAW 2019)

ACL

• Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, and Keith Suderman. 2019. A Multi-Platform Annotation Ecosystem for Domain Adaptation. In Proceedings of the 13th Linguistic Annotation Workshop, pages 189–194, Florence, Italy. Association for Computational Linguistics.