Understanding the Properties of Generated Corpora
Naama Zwerdling
Segev Shlomov
Esther Goldbraich
George Kour
Boaz Carmeli
N. Tepper
Inbal Ronen
Vitaly Zabershinsky
Ateret Anaby-Tavor

Abstract
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.
View on arXivComments on this paper