# Choosing features for classifying multiword expressions

arXiv: https://arxiv.org/abs/2605.11779 · HTML: https://mlsanity.com/paper/2605.11779/

## Key facts

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- Builds on 0 of its 100 references that are in the map.
- First posted on arXiv 12 May 2026.

## Abstract (arXiv)

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.
