We have explored the applicability of machine translation evaluation methods to answer ranking in community Question Answering, a seemingly very different task, where the goal is to rank the comments in a question-answer thread according to their appropriateness to the question, placing all good comments above all bad ones.
we have adopted a pairwise neural network architecture, which incorporates MTE features, as well as rich syntactic and semantic embeddings of the input texts that are non-linearly combined in the hidden layer.