@InProceedings{brassard-EtAl:2018:S18-1,
  author    = {Brassard, Ana  and  Kuculo, Tin  and  Boltuzic, Filip  and  Šnajder, Jan},
  title     = {TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {1133--1136},
  abstract  = {This paper describes our system for the SemEval-2018 Task 12: Argument Reasoning Comprehension Task. We utilize skip-thought vectors, sentence-level distributional vectors inspired by the popular word embeddings and the skip-gram model. We encode preprocessed sentences from the dataset into vectors, then perform a binary supervised classification of the warrant that justifies the use of the reason as support for the claim. We explore a few variations of the model, reaching 54.1% accuracy on the test set, which placed us 16th out of 22 teams participating in the task. Author{3}{Affiliation}},
  url       = {http://www.aclweb.org/anthology/S18-1192}
}