Abstract
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.
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Stede, M., Huang, CR. Inter-operability and reusability: the science of annotation. Lang Resources & Evaluation 46, 91–94 (2012). https://doi.org/10.1007/s10579-011-9164-x
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DOI: https://doi.org/10.1007/s10579-011-9164-x