@InProceedings{rajana-EtAl:2017:starSEM,
  author    = {Rajana, Sneha  and  Callison-Burch, Chris  and  Apidianaki, Marianna  and  Shwartz, Vered},
  title     = {Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network},
  booktitle = {Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {12--21},
  abstract  = {Recognizing and distinguishing antonyms from other types of semantic relations
	is an essential part of language understanding systems. In this paper, we
	present a novel method for deriving antonym pairs using paraphrase pairs
	containing negation markers. We further propose a neural network model, AntNET,
	that integrates morphological features indicative of antonymy into a path-based
	relation detection algorithm. We demonstrate that our model outperforms
	state-of-the-art models in distinguishing antonyms from other semantic
	relations and is capable of efficiently handling multi-word expressions.},
  url       = {http://www.aclweb.org/anthology/S17-1002}
}