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

Siva Reddy, Diana McCarthy, Suresh Kumar Manandhar, Spandana Gella

Research output: Contribution to conferencePaper


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.
Original languageEnglish
Publication statusPublished - 2011
EventDistributional Semantics and Compositionality (DISCO 2011) - Oregon, Portland, United States
Duration: 24 Jun 2011 → …


WorkshopDistributional Semantics and Compositionality (DISCO 2011)
Country/TerritoryUnited States
Period24/06/11 → …

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