@InProceedings{bogdanova-EtAl:2017:EACLlong,
  author    = {Bogdanova, Dasha  and  Foster, Jennifer  and  Dzendzik, Daria  and  Liu, Qun},
  title     = {If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {121--131},
  abstract  = {We show that a neural approach to the task of non-factoid answer reranking can
	benefit from the inclusion of tried-and-tested handcrafted features. 
	We present a neural network architecture based on a combination of recurrent
	neural networks that are used to encode questions and answers, and a multilayer
	perceptron. We show how this approach can be combined with additional features,
	in particular, the discourse features used by previous research. Our neural
	approach achieves state-of-the-art performance on a public dataset from
	Yahoo!~Answers and its performance is further improved by incorporating the
	discourse features. Additionally, we present a new dataset of Ask Ubuntu
	questions where the hybrid approach also achieves good results.},
  url       = {http://www.aclweb.org/anthology/E17-1012}
}