Quality and Efficiency of Manual Annotation: Pre-annotation Bias

06/15/2023

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by   Marie Mikulová, et al.

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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.