@InProceedings{eckert-neves:2018:BioASQ,
  author    = {Eckert, Fabian  and  Neves, Mariana},
  title     = {Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets},
  booktitle = {Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {11--21},
  abstract  = {Question answering (QA) systems usually rely on advanced natural language processing components to precisely understand the questions and extract the answers. Semantic role labeling (SRL) is known to boost performance for QA, but its use for biomedical texts has not yet been fully studied. We analyzed the performance of three SRL tools (BioKIT, BIOSMILE and PathLSTM) on 1776 questions},
  url       = {http://www.aclweb.org/anthology/W18-5302}
}