61 citations · 104 across the 2 of their papers we have counts for
3 papers
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong +1
Deep learning models perform poorly on tasks that require commonsense reasoning, which often necessitates some form of world-knowledge or reasoning over information not immediately…
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar +2
While natural language processing systems often focus on a single language, multilingual transfer learning has the potential to improve performance, especially for low-resource lan…
Revisiting Activation Regularization for Language RNNs
Stephen Merity, Bryan McCann, Richard Socher
Recurrent neural networks (RNNs) serve as a fundamental building block for many sequence tasks across natural language processing. Recent research has focused on recurrent dropout…