Learning when to skim and when to read

Many recent advances in deep learning for natural language processing have come at increasing computational cost, but the power of these state-of-the-art models is not needed for every example in a dataset. We demonstrate two approaches to reducing unnecessary computation in cases where a fast but weak baseline classier and a stronger, slower model are both available. Applying an AUC-based metric to the task of sentiment classification, we find significant efficiency gains with both a probability-threshold method for reducing computational cost and one that uses a secondary decision network.Comment: 8 pages (4 article, 1 references, 3 appendix), 11 figures, 3 tables, published at ACL2017 workshop Repl4NL

The Human Sciences: Obstacles and Opportunities

An explanation of the failure of the social sciences to attain their aim of providing improvable laws of human behavior, together with a recommendation about where to look for such laws

Tuning an activator-repressor clock employing retroactivity

Activator-repressor systems have been shown to be capable of oscillations and are therefore an important clock motif in the field of Synthetic and Systems Biology. In this paper, we propose a method to regulate oscillatory behavior in such systems by the addition of DNA binding sites for the proteins involved in the clock network. We show that the retroactivity effect caused by this addition can effectively change the relative timescales among the protein dynamics and impact the behavior of the clock. We also employ root locus analysis to obtain a graphical interpretation of the results

Selected Papers on Noncommutative Geometry

This volume contains selected works of Alexander Rosenberg centering on his theory of noncommutative spaces. The articles are based on preprints published by the Max-Planck Institute for Mathematics in Bonn, published with their permission and the permissions of the Rosenberg family. We hope that grouping the selected papers together will give the reader an opportunity to understand the broadness and deepness of Rosenberg’s ideas.https://newprairiepress.org/ebooks/1000/thumbnail.jp