Four short links: 13 September 2019

1. Universal Adversarial Triggers for Attacking and Analyzing NLP — WARNING: This paper contains model outputs which are offensive in nature. How to make small changes to the input text used to build a model, causing large downstream changes in its accuracy. (via Nasty Language Processing: Textual Triggers Transform Bots Into Bigots)
2. AP Data Kit — an open-source command-line tool designed to better structure and manage projects. It makes it easier to standardize and share work among members of your team, and to keep your past projects organized and easily accessible for future reference. AP DataKit works off a basic framework that includes the core product and a few key plugins to help you manage where your data files and code are stored and updated.
3. Quantum Computing and the Fundamental Limits of Computation (Scott Aaronson) — three lectures: The Church-Turing Thesis and Physics (watch, PPT), The Limits of Efficient Computation (watch, PPT), and The Quest for Quantum Computational Supremacy (watch, PPT).
4. WIQA — the first large-scale dataset of “What if…” questions over procedural text. WIQA contains three parts: a collection of paragraphs each describing a process, e.g., beach erosion; a set of crowdsourced influence graphs for each paragraph, describing how one change affects another; and a large (40k) collection of “What if…?” multiple-choice questions derived from the graphs. […] WIQA contains three kinds of questions: perturbations to steps mentioned in the paragraph; external (out-of-paragraph) perturbations requiring commonsense knowledge; and irrelevant (no effect) perturbations.

from Radar https://ift.tt/2NYuEdH