English

Human vs Automatic Metrics: on the Importance of Correlation Design

Computation and Language 2021-03-16 v3

Abstract

This paper discusses two existing approaches to the correlation analysis between automatic evaluation metrics and human scores in the area of natural language generation. Our experiments show that depending on the usage of a system- or sentence-level correlation analysis, correlation results between automatic scores and human judgments are inconsistent.

Keywords

Cite

@article{arxiv.1805.11474,
  title  = {Human vs Automatic Metrics: on the Importance of Correlation Design},
  author = {Anastasia Shimorina},
  journal= {arXiv preprint arXiv:1805.11474},
  year   = {2021}
}

Comments

accepted for the WiNLP workshop at NAACL 2018; 3 pages