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1
Learning Antonyms with Paraphrases and a Morphology-aware Neural Network
In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838526 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
Abstract: International audience ; 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.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; antonym; neural network; paraphrasing
URL: https://hal.archives-ouvertes.fr/hal-01838526
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KnowYourNyms? A Game of Semantic Relationships
In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838528 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017)
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