The article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums. The systems under discussion participated in Subtask A: decide whether a question asks for factual information, opinion/advice or is just socializing. Our primary submission was ranked as the second one among all participants in the official evaluation phase. The article presents our primary solution: Deeply Regularized Residual Neural Network (DRR NN) with Universal Sentence Encoder embeddings. This is followed by a description of two contrastive solutions based on ensemble methods.
@article{arxiv.1906.01515,
title = {TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums},
author = {Piotr Niewinski and Aleksander Wawer and Maria Pszona and Maria Janicka},
journal= {arXiv preprint arXiv:1906.01515},
year = {2019}
}