@InProceedings{gonzlez-EtAl:2018:S18-12,
  author    = {González, José-Ángel  and  Hurtado, Lluís-F.  and  Segarra, Encarna  and  Pla, Ferran},
  title     = {ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {1034--1037},
  abstract  = {This paper describes the participation of ELiRF-UPV team at task 11, Machine Comprehension using Commonsense Knowledge, of SemEval-2018. Our approach is based on the use of word embeddings, NumberBatch Embeddings, and a Deep Learning architecture to find the best answer for the multiple-choice questions based on the narrative text. The results obtained are in line with those obtained by the other participants and they encourage us to continue working on this problem.},
  url       = {http://www.aclweb.org/anthology/S18-1172}
}