Browsing Theses by Author "Sequiera, Royal"
Now showing items 1-1 of 1
-
Simple Convolutional Neural Networks with Linguistically-Annotated Input for Answer Selection in Question Answering
Sequiera, Royal (University of Waterloo, 2018-08-10)With the advent of deep learning methods, researchers have been increasingly preferring deep learning methods over decades-old feature-engineering-inspired work in Natural Language Processing (NLP). The research community ...