3 papers
cs.CL2020
Case Study: Deontological Ethics in NLP
Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov +1
Recent work in natural language processing (NLP) has focused on ethical challenges such as understanding and mitigating bias in data and algorithms; identifying objectionable conte…
cs.HC2019
Detecting Compromised Implicit Association Test Results Using Supervised Learning
Brendon Boldt, Zack While, Eric Breimer
An implicit association test is a human psychological test used to measure subconscious associations. While widely recognized by psychologists as an effective tool in measuring att…
cs.SE2019
Using LSTMs to Model the Java Programming Language
Brendon Boldt
Recurrent neural networks (RNNs), specifically long-short term memory networks (LSTMs), can model natural language effectively. This research investigates the ability for these sam…