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The Co-occurrence Retrieval Framework applied to Text Classification

Speaker

Jonathon Read

Affilliation

Sussex

Abstract

Julie Weeds and David Weir have described a co-occurrence retrieval framework for measuring the distributional similarity between pairs of words. This framework draws on the notions of precision and recall from the field of document retrieval.

The framework is centred around functions on pairs of feature vectors, which output a score measuring the degree of similarity between the two vectors. It therefore seems plausible that the framework could be applied to other problems that can be described using feature vectors. This presentation will demonstrate the framework's application to the problem of text classification, and discuss the merits and drawbacks of applying the framework to this task.

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