Search Results for author: Chris Waterson

Found 3 papers, 2 papers with code

Olive Oil is Made \textitof Olives, Baby Oil is Made \textitfor Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model

no code implementations NAACL 2018 Vered Shwartz, Chris Waterson

Automatic interpretation of the relation between the constituents of a noun compound, e. g. olive oil (source) and baby oil (purpose) is an important task for many NLP applications.

Memorization Relation +1

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

1 code implementation HLT 2018 Vered Shwartz, Chris Waterson

Automatic interpretation of the relation between the constituents of a noun compound, e. g. olive oil (source) and baby oil (purpose) is an important task for many NLP applications.

Memorization Relation

Swivel: Improving Embeddings by Noticing What's Missing

3 code implementations6 Feb 2016 Noam Shazeer, Ryan Doherty, Colin Evans, Chris Waterson

We present Submatrix-wise Vector Embedding Learner (Swivel), a method for generating low-dimensional feature embeddings from a feature co-occurrence matrix.

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