AMR Parsing with Action-Pointer Transformer
Jiawei Zhou, Tahira Naseem, et al.
NAACL 2021
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.
Jiawei Zhou, Tahira Naseem, et al.
NAACL 2021
Massimiliano Pronesti, Joao Bettencourt-Silva, et al.
ACL 2025
Ariel Gera, Odellia Boni, et al.
ACL 2025
Kofi Arhin, Ioana Baldini Soares, et al.
NeurIPS 2021