Extrapolation in NLP

May 17, 2018 ยท Declared Dead ยท ๐Ÿ› Proceedings of the Workshop on Generalization in the Age of Deep Learning

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Authors Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel arXiv ID 1805.06648 Category cs.CL: Computation & Language Citations 20 Venue Proceedings of the Workshop on Generalization in the Age of Deep Learning Last Checked 4 months ago
Abstract
We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.
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