Skip to Main content Skip to Navigation
New interface
Conference papers

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Abstract : Research on Automatic Story Generation (ASG) relies heavily on human and automatic evaluation. However, there is no consensus on which human evaluation criteria to use, and no analysis of how well automatic criteria correlate with them. In this paper, we propose to re-evaluate ASG evaluation. We introduce a set of 6 orthogonal and comprehensive human criteria, carefully motivated by the social sciences literature. We also present HANNA, an annotated dataset of 1,056 stories produced by 10 different ASG systems. HANNA allows us to quantitatively evaluate the correlations of 72 automatic metrics with human criteria. Our analysis highlights the weaknesses of current metrics for ASG and allows us to formulate practical recommendations for ASG evaluation.
Complete list of metadata

https://hal-imt.archives-ouvertes.fr/hal-03801053
Contributor : Cyril Chhun Connect in order to contact the contributor
Submitted on : Thursday, October 6, 2022 - 5:39:01 PM
Last modification on : Friday, November 11, 2022 - 3:50:56 AM

File

2208.11646.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03801053, version 1

Citation

Cyril Chhun, Pierre Colombo, Fabian M Suchanek, Chloé Clavel. Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. 29th International Conference on Computational Linguistics (COLING 2022), Oct 2022, Gyeongju, South Korea. ⟨hal-03801053⟩

Share

Metrics

Record views

0

Files downloads

0