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Understanding the Properties of Generated Corpora

arXiv 2206.11219 ↗First posted 22 Jun 2022cs.CLcited by 0

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Abstract (arXiv)

Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora. However, understanding the properties of an automatically generated text corpus remains challenging. We propose a set of tools that examine the properties of generated text corpora. Applying these tools on various generated corpora allowed us to gain new insights into the properties of the generative models. As part of our characterization process, we found remarkable differences in the corpora generated by two leading generative technologies.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 23 references that are in the map. First posted on arXiv 22 Jun 2022.

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References · 14

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  12. 2019Unifying Human and Statistical Evaluation for Natural Language Generationcited by 127
2 more
  1. 2018Conditional BERT Contextual Augmentationcited by 107
  2. 2017Generating Sentences by Editing Prototypescited by 88

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