Papers by Louis Est�ve
Vector Spaces for Quantifying Disparity of Multiword Expressions in Annotated Text (2024.acl-srw)
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| Challenge: | We show that multiword expressions are a good study for linguistic diversity due to theiridiosyncratic nature. |
| Approach: | They train static MWE-aware word embeddings for verbal MWEs in 14 languages . they find that the disparity measure aggregatingthem at a global scale correlates with the number of types . |
| Outcome: | The proposed method is based on a set of vector spaces for VMWEs in 14 languages. |