@inproceedings{rajana-etal-2017-learning,
    title = "Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network",
    author = "Rajana, Sneha  and
      Callison-Burch, Chris  and
      Apidianaki, Marianna  and
      Shwartz, Vered",
    editor = "Ide, Nancy  and
      Herbelot, Aur{\'e}lie  and
      M{\`a}rquez, Llu{\'i}s",
    booktitle = "Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*{SEM} 2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/S17-1002/",
    doi = "10.18653/v1/S17-1002",
    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."
}