A Multi-Platform Annotation Ecosystem for Domain Adaptation

Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman


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.
Anthology ID:
W19-4021
Volume:
Proceedings of the 13th Linguistic Annotation Workshop
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | LAW | WS
SIG:
SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
189–194
Language:
URL:
https://aclanthology.org/W19-4021
DOI:
10.18653/v1/W19-4021
Bibkey:
Cite (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.
Cite (Informal):
A Multi-Platform Annotation Ecosystem for Domain Adaptation (Eckart de Castilho et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4021.pdf