Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System
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-of-words 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.
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