Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts

no code implementations • IJCNLP 2019 • Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligori{\'c}, Sean Kross, Michelle Mazurek, Hal Daum{\'e} III

The readability of a digital text can influence people{'}s ability to learn new things about a range topics from digital resources (e. g., Wikipedia, WebMD).

Specificity

Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning

no code implementations • 17 Jan 2017 • Rock Stevens, Octavian Suciu, Andrew Ruef, Sanghyun Hong, Michael Hicks, Tudor Dumitraş

Governments and businesses increasingly rely on data analytics and machine learning (ML) for improving their competitive edge in areas such as consumer satisfaction, threat intelligence, decision making, and product efficiency.

BIG-bench Machine Learning Decision Making