Quality and Efficiency of Manual Annotation: Pre-annotation Bias
Marie Mikulová Milan Straka Jan Štěpánek Barbora Štěpánková Jan Hajič
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.