Replication data from: What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability

  • Mario Giulianelli (Ophavsmand)
  • Joris Baan (University of Amsterdam) (Ophavsmand)
  • Wilker Aziz (Ophavsmand)
  • Raquel Fernandez (Ophavsmand)
  • Barbara Plank (Ophavsmand)

Data set

Beskrivelse

This dataset contains production variability scores as described in the following paper: Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, and Barbara Plank. 2023. What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. We make these scores available to facilitate the reproducibility of our experiments, which can be found at https://github.com/dmg-illc/nlg-uncertainty-probes.
Dato for tilgængelighed20 okt. 2023
ForlagZENODO

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