Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network
Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, Vered Shwartz · 2017
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.