Choosing features for classifying multiword expressions
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Computer Science > Computation and Language
Title:Choosing features for classifying multiword expressions
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.
| Subjects: | Computation and Language (cs.CL) |
| ACM classes: | I.7.0 |
| Cite as: | arXiv:2605.11779 [cs.CL] |
| (or arXiv:2605.11779v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.11779
arXiv-issued DOI via DataCite (pending registration)
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| Journal reference: | Multiword expressions: Insights from a multi-lingual perspective, 2018, Language Science Press, pp.143-186 |
| Related DOI: | https://doi.org/10.5281/zenodo.1182597
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