@InProceedings{aina-EtAl:2018:S18-1,
  author    = {Aina, Laura  and  Silberer, Carina  and  Sorodoc, Ionut-Teodor  and  Westera, Matthijs  and  Boleda, Gemma},
  title     = {AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {65--69},
  abstract  = {This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this innovation greatly facilitates the identification of infrequent characters. Because of the generic nature of our model, this finding is potentially relevant to any task that requires the effective learning from sparse or imbalanced data.},
  url       = {http://www.aclweb.org/anthology/S18-1008}
}