Michelle Brachman, Christopher Bygrave, et al.
AAAI 2022
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.
Michelle Brachman, Christopher Bygrave, et al.
AAAI 2022
Matteo Manica, Loic Kwate Dassi, et al.
ISGC 2022
Arafat Sultan, Jatin Ganhotra, et al.
EMNLP 2024
Masayasu Muraoka, Tetsuya Nasukawa, et al.
EMNLP 2020