  Being able to predict the length of a scientific paper may be helpful in
numerous situations. This work defines the paper length prediction task as a
regression problem and reports several experimental results using popular
machine learning models. We also create a huge dataset of publication metadata
and the respective lengths in number of pages. The dataset will be freely
available and is intended to foster research in this domain. As future work, we
would like to explore more advanced regressors based on neural networks and big
pretrained language models.
