[D] What's the best way to augment data for text matching? • r/MachineLearning

We're trying to train a model that predicts if a given question ( 20 words) is answered in a given paragraph ( 200 words). Paragraphs are all from Wikipedia. We're using a simple RNN where the question and paragraph are the two inputs. Each is separately converted into a representation through a GRU layer, the outputs are concatenated and run through a dense layer with 2 output nodes (each giving a probability for either class 1 or 2). Class 1 means that the question is not answered in that paragraph, class 2 means it is.