Search Results for author:
Found 8 papers, 0 papers with code
Towards a Variability Measure for Multiword Expressions
One of the most outstanding properties of multiword expressions (MWEs), especially verbal ones (VMWEs), important both in theoretical models and applications, is their idiosyncratic variability.
VarIDE at PARSEME Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?
We describe the VarIDE system (standing for Variant IDEntification) which participated in the edition 1. 1 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).
If you've seen some, you've seen them all: Identifying variants of multiword expressions
Multiword expressions, especially verbal ones (VMWEs), show idiosyncratic variability, which is challenging for NLP applications, hence the need for VMWE identification.
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
We use this fact to determine the optimal set of features which could be used in a supervised classification setting to solve a subproblem of VMWE identification: the identification of occurrences of previously seen VMWEs.
Annotation d'expressions polylexicales verbales en fran\ccais (Annotation of verbal multiword expressions in French)
Nous d{\'e}crivons la partie fran{\c{c}}aise des donn{\'e}es produites dans le cadre de la campagne multilingue PARSEME sur l{'}identification d{'}expressions polylexicales verbales (Savary et al., 2017).
Expressions polylexicales verbales : \'etude de la variabilit\'e en corpus (Verbal MWEs : a corpus-based study of variability)
La reconnaissance et le traitement appropri{\'e} des expressions polylexicales (EP) constituent un enjeu pour diff{\'e}rentes applications en traitement automatique des langues.
Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut?
Automatic identification of multiword expressions (MWEs), like {`}to cut corners{'} (to do an incomplete job), is a pre-requisite for semantically-oriented downstream applications.
Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs
We describe the Seen2Unseen system that participated in edition 1. 2 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).
