Learning Semantic Relatedness in Community Question Answering Using Neural Models
Henry Nassif, Mitra Mohtarami, James Glass · 2016
Community Question Answering forums, such as Quora and Stackoverflow contain millions of questions and answers.Automatically finding the relevant questions from the existing questions and finding the relevant answers to a new question are Natural Language Processing tasks.In this paper, we aim to address these tasks, which we refer to as similar-Question Retrieval and Answer Selection.We present a neural-based model with stacked bidirectional LSTMs and MLP to address these tasks.The model generates the vector representations of the question-question or question-answer pairs and computes their semantic similarity scores, which are then employed to rank and predict relevancies.Extensive experiments demonstrate our results outperform the baselines.