TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
This work addresses fact-checking in online forums, which is an incremental improvement in a specific domain.
The paper tackled the problem of classifying questions in community forums as factual, opinion/advice, or socializing, achieving second place in the official evaluation of SemEval 2019 Task 8 Subtask A.
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.