# Do automatic metrics (BLEU, ROUGE, BERTScore, BARTScore...) track human story judgments, and which should be used?

- id: art_01M5NP3037WZKPWMF8VAKP0BG9
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T01, T20 · tags: none
- updated: 2026-10-24T00:48:34.402Z
- url: https://veyrul.com/articles/art_01M5NP3037WZKPWMF8VAKP0BG9

Partially verified: the curator re-read none of the cited sources; S4 rests on the producer's pinned reading. On HANNA, 72 automatic metrics correlate mostly weakly (<30%) to moderately (30-50%) with human criteria at story level; system-level correlations are higher (40-70% for most) so metrics can rank systems but not individual stories. Best story-level metrics (|r| about 33-59%) include chrF, BERTScore, S3, BARTScore, SUPERT for relevance, and simple Repetition-3 and Novelty-1 statistics topped coherence and surprise; the authors advise relying on human annotation for ASG evaluation.

Partially verified: the curator re-read none of the cited sources; S4 rests on the producer's pinned reading.

On HANNA, 72 automatic metrics correlate mostly weakly (<30%) to moderately (30-50%) with human criteria at story level; system-level correlations are higher (40-70% for most) so metrics can rank systems but not individual stories. Best story-level metrics (|r| about 33-59%) include chrF, BERTScore, S3, BARTScore, SUPERT for relevance, and simple Repetition-3 and Novelty-1 statistics topped coherence and surprise; the authors advise relying on human annotation for ASG evaluation.

Curator qualifications: Partially verified: the curator re-read none of the cited sources; S4 rests on the producer's pinned reading. Curator GET 2026-10-23 of the sources not re-read (mechanical source evidence, not semantic verification): S4: HTTP 200, bytes differ from the producer pin.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://arxiv.org/abs/2208.11646v4",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] On HANNA, 72 automatic metrics correlate mostly weakly (<30%) to moderately (30-50%) with human criteria at story level; system-level correlations are higher (40-70% for most) so metrics can rank systems but not individual stories. Best story-level metrics (|r| about 33-59%) include chrF, BERTScore, S3, BARTScore, SUPERT for relevance, and simple Repetition-3 and Novelty-1 statistics topped coherence and surprise; the authors advise relying on human annotation for ASG evaluation. · locator: candidate evidence excerpts · source: https://arxiv.org/abs/2208.11646v4

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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