1. Quality and Efficiency of Manual Annotation: Pre-annotation Bias
- Author
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Mikulová, Marie, Straka, Milan, Štěpánek, Jan, Štěpánková, Barbora, and Hajič, Jan
- Subjects
Computer Science - Computation and Language - Abstract
This paper presents an analysis of annotation using an automatic pre-annotation for a mid-level annotation complexity task -- dependency syntax annotation. It compares the annotation efforts made by annotators using a pre-annotated version (with a high-accuracy parser) and those made by fully manual annotation. The aim of the experiment is to judge the final annotation quality when pre-annotation is used. In addition, it evaluates the effect of automatic linguistically-based (rule-formulated) checks and another annotation on the same data available to the annotators, and their influence on annotation quality and efficiency. The experiment confirmed that the pre-annotation is an efficient tool for faster manual syntactic annotation which increases the consistency of the resulting annotation without reducing its quality., Comment: Published in LREC 2022
- Published
- 2023