Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System
Rebekah Cramerus, Tatjana Scheffler · 2019
This paper describes the approach of team Kit Kittredge to SemEval 2019 Task 4: Hyperpartisan News Detection.The goal was binary classification of news articles into the categories of "biased" or "unbiased".We had two software submissions: one a simple bag-ofwords model, and the second an LSTM (Long Short Term Memory) neural network, which was trained on a subset of the original dataset selected by a voting system of other LSTMs.This method did not prove much more successful than the baseline, however, due to the models' tendency to learn publisher-specific traits instead of general bias.