TY  - JOUR
A1  - Stede, Manfred
A1  - Huang, Chu-Ren
T1  - Inter-operability and reusability the science of annotation
T2  - Language resources and evaluation
N2  - Annotating linguistic data has become a major field of interest, both for supplying the necessary data for machine learning approaches to NLP applications, and as a research issue in its own right. This comprises issues of technical formats, tools, and methodologies of annotation. We provide a brief overview of these notions and then introduce the papers assembled in this special issue.
KW  - Linguistic annotation
KW  - Annotation tools
KW  - Inter-operability
Y1  - 2012
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/36074
SN  - 1574-020X
VL  - 46
IS  - 1
SP  - 91
EP  - 94
PB  - Springer
CY  - Dordrecht
ER  -