Reviews: Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)

This work describes experiments done using pretrained word embedding model representations, and fMRI and MEG representations when reading the same text. Bringing these together is original and an interesting avenue of research, yet I have doubts about the significance, clarity and quality of this work. There are several points where references would have been needed to refer to prior work, or to back up some claim (e.g. The paper furthermore has a significant part of its material deferred into the appendix, including parts that are crucial to understand the experiment. From the main paper alone it is for example unclear which metrics are used when evaluating the fitted linear models, and even information as basic as whether the task is a regression or a classification task.