Evaluating Distributional Properties of Tagsets

Abstract

We investigate which distributional properties should be present in a tagset by examining different mappings of various current part-of-speech tagsets, looking at English, German, and Italian corpora. Given the importance of distributional information, we present a simple model for evaluating how a tagset mapping captures distribution, specifically by utilizing a notion of frames to capture the local context. In addition to an accuracy metric capturing the internal quality of a tagset, we introduce a way to evaluate the external quality of tagset mappings so that we can ensure that the mapping retains linguistically important information from the original tagset. Although most of the mappings we evaluate are motivated by linguistic concerns, we also explore an automatic, bottom-up way to define mappings, to illustrate that better distributional mappings are possible. Comparing our initial evaluations to POS tagging results, we find that more distributional tagsets can sometimes result in worse accuracy, underscring the need to carefully define the properties of a tagset.

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