An unsupervised ranking model for noun-noun compositionality

Authors:
Karl Moritz Hermann;Phil Blunsom;Stephen Pulman
Affiliations:
University of Oxford Wolfson Building, UK;University of Oxford Wolfson Building, UK;University of Oxford Wolfson Building, UK
Venue:
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Year:
2012

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Abstract

We propose an unsupervised system that learns continuous degrees of lexicality for noun-noun compounds, beating a strong baseline on several tasks. We demonstrate that the distributional representations of compounds and their parts can be used to learn a fine-grained representation of semantic contribution. Finally, we argue such a representation captures compositionality better than the current status-quo which treats compositionality as a binary classification problem.