Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
north american chapter of the association for computational linguistics, pp. 486-492, 2018.
We observe that the semantic structures are beneficial for the English–German language pair
Semantic representations have long been argued as potentially useful for enforcing meaning preservation and improving generalization performance of machine translation methods. In this work, we are the first to incorporate information about predicate-argument structure of source sentences (namely, semantic-role representations) into neura...More
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