@InProceedings{aina-etal:2018:clicit,
  author = 	 {Laura Aina and Raffaella Bernardi and Raquel Fern\'andez},
  title = 	 {A distributional study of negated adjectives and antonyms},
  booktitle = {Proceedings of the 5th Italian Conference on Computational Linguistics (CLIC-IT)},
  year = 	 {2018},
  url = {https://staff.fnwi.uva.nl/r.fernandezrovira/papers/2018/AinaEtal-clicit2018.pdf},
  abstract = "In this paper, we investigate the relation between negated adjectives and antonyms in English using Distributional Semantics methods. Results show that, on the basis of contexts of use, a negated adjective (e.g., not cold) is typically more similar to the adjective itself (cold) than to its antonym (hot); such effect is less strong for antonyms derived by affixation (e.g., happy - unhappy)."
}

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