YNU-HPCC at SemEval-2019 task 8: Using A LSTM-attention model for fact-checking in community forums

Abstract

The objective of the task, Fact-Checking in Community Forums, is to determine whether an answer to a factual question is true, false, or whether it even constitutes a proper answer. In this paper, we propose a system that uses a long short-term memory with attention mechanism (LSTM-Attention) model to complete the task. The LSTM-Attention model uses two LSTM(Long Short-Term Memory) to extract the features of the question and answer pair. Then, each of the features is sequentially composed using the Attention mechanism, concatenating the two vectors into one. Finally, the concatenated vector is used as input for the MLP (Multi-Layer Perceptron) and the MLP's output layer uses the softmax function to classify the provided answers into three categories. This model is capable of extracting the features of the question and answer pair well. The results show that the proposed system outperforms the baseline algorithm.