{
  "id": "openmeva",
  "title": "OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics",
  "authors": [
    {
      "given": "Jian",
      "family": "Guan"
    },
    {
      "given": "Zhexin",
      "family": "Zhang"
    },
    {
      "given": "Zhuoer",
      "family": "Feng"
    },
    {
      "given": "Zitao",
      "family": "Liu"
    },
    {
      "given": "Wenbiao",
      "family": "Ding"
    },
    {
      "given": "Xiaoxi",
      "family": "Mao"
    },
    {
      "given": "Changjie",
      "family": "Fan"
    },
    {
      "given": "Minlie",
      "family": "Huang"
    }
  ],
  "year": 2021,
  "venue": "ACL-IJCNLP 2021",
  "paper_url": "https://aclanthology.org/2021.acl-long.500/",
  "pdf_url": "https://aclanthology.org/2021.acl-long.500.pdf",
  "doi": "10.18653/v1/2021.acl-long.500",
  "summary": "A benchmark for testing automatic story metrics, including human correlation, generalization, robustness, and sensitivity to different coherence errors.",
  "connection": "Tests whether an evaluator detects known story defects; complements latent-space criticism of a generator’s output distribution.",
  "bibtex_type": "inproceedings",
  "citation_key": "guan-etal-2021-openmeva",
  "source_urls": [
    "https://aclanthology.org/2021.acl-long.500/"
  ],
  "updated_at": "2026-11-10",
  "record_url": "https://yuntiandeng.com/research/papers/openmeva/"
}