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On the Usefulness of Embeddings, Clusters and Strings for Text Generator
  Evaluation

On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation

31 May 2022
Tiago Pimentel
Clara Meister
Ryan Cotterell
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Papers citing "On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation"

1 / 1 papers shown
Title
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
238
254
0
02 Feb 2021
1