In this work, we investigate the expressive power of siamese architectures (Bromley et al., 1994) coupled with hard negatives (i.e., difficult negative samples for the model being learnt), against more sophisticated models.
all our models ignore any interaction between question and answer representations, and use a shared encoder to independently encode questions and answers.