Choosing features for classifying multiword expressions
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914557689069568 |
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| author | Laporte, Eric |
| author_facet | Laporte, Eric |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_11779 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Choosing features for classifying multiword expressions Laporte, Eric Computation and Language I.7.0 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. |
| title | Choosing features for classifying multiword expressions |
| topic | Computation and Language I.7.0 |
| url | https://arxiv.org/abs/2605.11779 |