Choosing features for classifying multiword expressions

arXiv cs.CL Papers
nlp feature-selection multiword-expressions classification machine-learning

Summary

This paper discusses methods for selecting features to improve the classification of multiword expressions.

arXiv:2605.11779v1 Announce Type: new Abstract: Multiword expressions (MWEs) are a heterogeneous set with a glaring need for classifications. Designing a satisfactory classification involves choosing features. In the case of MWEs, many features are a priori available. Not all features are equal in terms of how reliably MWEs can be assigned to classes. Accordingly, resulting classifications may be more or less fruitful for computational use. I outline an enhanced classification. In order to increase its suitability for many languages, I use previous works taking into account various languages.
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# Choosing features for classifying multiword expressions
Source: [https://arxiv.org/abs/2605.11779](https://arxiv.org/abs/2605.11779)
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