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Automatic interpretation of the relation between the constituents of a nouncompound, e.g. olive oil (source) and baby oil (purpose) is an important taskfor many NLP applications. Recent approaches are typically based on eithernoun-compound representations or paraphrases. While the former has initiallyshown promising results, recent work suggests that the success stems frommemorizing single prototypical words for each relation. We explore a neuralparaphrasing approach that demonstrates superior performance when suchmemorization is not possible.

Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model