Papers by Felix Caspelherr
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task (C18-1)
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Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, Iryna Gurevych
| Challenge: | 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. |
| Approach: | They propose a new evaluation metric favoring the majority class, which can be easily classified, and propose stacked LSTM models that perform on par with the best systems, but is superior in predicting minority classes. |
| Outcome: | The proposed evaluation metric favors the majority class, which can be easily classified, and overestimates the true discriminative power of the methods. |