Ling Liu, Ishan Jindal, et al.
NAACL 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.
Ling Liu, Ishan Jindal, et al.
NAACL 2022
Shinnosuke Tanaka, Carol Mak, et al.
ACL 2024
Viviane T. Silva, Rodrigo Neumann Barros Ferreira, et al.
ACS Fall 2024
Xue Han, Lianxue Hu, et al.
SCC 2020