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UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
16 September 2020
Jian Guan
Shiyu Huang
ArXiv (abs)PDFHTML

Papers citing "UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation"

1 / 51 papers shown
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersNeural Information Processing Systems (NeurIPS), 2021
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
391
446
0
02 Feb 2021
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