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

Abstract

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.

Tasks

Reproductions