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Exploiting Morphological Regularities in Distributional Word RepresentationsAuthors: Syed S. Akhtar,Arihant Gupta,Avijit Vajpayee,Arjit Srivastava,Madan Gopal Jhawar,Manish Shrivastava Conference: Conference on Empirical Methods in Natural Language Processing (EMNLP-2017 2017) Location Copenhagen, Denmark Date: 2017-09-07 Report no: IIIT/TR/2017/98 AbstractWe present a simple, fast and unsupervised approach for exploiting morphological regularities present in high dimensional vector spaces. We propose a novel method for generating embeddings of words from their morphological variants using morphological transformation operators. We evaluate this approach on MSR word analogy test set (Mikolov et al., 2013d) with an accuracy of 85% which is 12% higher than the previous best known system. Full paper: pdf Centre for Language Technologies Research Centre |
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