NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:7868
Title:Inducing brain-relevant bias in natural language processing models

The reviewers agree that this paper makes an original contribution in investigating the fine tuning of a contextual embedding model, e.g. BERT, on neurological data. They have identified some issues with the clarity of the motivation of the work and the presentation of some of the results, but I feel that these shortcomings are outweighed by the contributions of this work which should be of interest to researchers across a number of disciplines. The reviewers thank the authors for the additional analysis provided in their response and look forward to this being incorporated into the final paper. In particular it would be good to clarify to significance of the results in Table 1, whether any of the differences are interpretable or whether this simply shows that they are equivalent.