Exemplar-based word-space model for compositionality detection: shared task system description

Authors:
Siva Reddy;Diana McCarthy;Suresh Manandhar;Spandana Gella
Affiliations:
University of York, UK;Lexical Computing Ltd, UK;University of York, UK;University of York, UK
Venue:
DiSCo '11 Proceedings of the Workshop on Distributional Semantics and Compositionality
Year:
2011

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Abstract

In this paper, we highlight the problems of polysemy in word space models of compositionality detection. Most models represent each word as a single prototype-based vector without addressing polysemy. We propose an exemplar-based model which is designed to handle polysemy. This model is tested for compositionality detection and it is found to outperform existing prototype-based models. We have participated in the shared task (Biemann and Giesbrecht, 2011) and our best performing exemplar-model is ranked first in two types of evaluations and second in two other evaluations.