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Improving the Annotation Efficiency and Effectiveness in the Text Domain

  • Markus ZlabingerEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11438)

Abstract

Annotated corpora are an important resource to evaluate methods, compare competing methods, or to train supervised learning methods. When creating a new corpora with the help of human annotators, two important goals are pursued by annotation practitioners: Minimizing the required resources (efficiency) and maximizing the resulting annotation quality (effectiveness). Optimizing these two criteria is a challenging problem, especially in certain domains (e.g. medical, legal). In the scope of my PhD thesis, the aim is to create novel annotation methods for an efficient and effective data acquisition. In this paper, methods and preliminary results are described for two ongoing annotation projects: medical information extraction and question-answering.

Keywords

Text annotation Corpus creation Data acquisition 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Software Technology and Interactive SystemsViennaAustria

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