English

Quality and Efficiency of Manual Annotation: Pre-annotation Bias

Computation and Language 2023-06-16 v1

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.

Keywords

Cite

@article{arxiv.2306.09307,
  title  = {Quality and Efficiency of Manual Annotation: Pre-annotation Bias},
  author = {Marie Mikulová and Milan Straka and Jan Štěpánek and Barbora Štěpánková and Jan Hajič},
  journal= {arXiv preprint arXiv:2306.09307},
  year   = {2023}
}

Comments

Published in LREC 2022