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- handle: 10670/1.112tj1
- isbn: 978-3-96110-063-7
- hal: hal-01802489
- doi: 10.5281/zenodo.1182597
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info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.1182597
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info:eu-repo/grantAgreement//COST IC1207/EU/Parsing and Multi-Word Expressions/PARSEME
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Eric Laporte, « Choosing features for classifying multiword expressions », HAL-SHS : linguistique, ID : 10.5281/zenodo.1182597
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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.