LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, Torsten Zesch · 2019
This paper describes LTL-UDE's systems for the SemEval 2019 Shared Task 6.We present results for Subtask A and C. In Subtask A, we experiment with an embedding representation of postings and use a Multi-Layer Perceptron and BERT to categorize postings.Our best result reaches the 10th place (out of 103) using BERT.In Subtask C, we applied a two-vote classification approach with minority fallback, which is placed on the 19th rank (out of 65).