@inproceedings{pasquer-etal-2018-varide,
title = "{V}ar{IDE} at {PARSEME} Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?",
author = "Pasquer, Caroline and
Ramisch, Carlos and
Savary, Agata and
Antoine, Jean-Yves",
editor = "Savary, Agata and
Ramisch, Carlos and
Hwang, Jena D. and
Schneider, Nathan and
Andresen, Melanie and
Pradhan, Sameer and
Petruck, Miriam R. L.",
booktitle = "Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions ({LAW}-{MWE}-{C}x{G}-2018)",
month = aug,
year = "2018",
address = "Santa Fe, New Mexico, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-4932",
pages = "283--289",
abstract = "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). Our system focuses on the task of VMWE variant identification by using morphosyntactic information in the training data to predict if candidates extracted from the test corpus could be idiomatic, thanks to a naive Bayes classifier. We report results for 19 languages.",
}
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%0 Conference Proceedings
%T VarIDE at PARSEME Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?
%A Pasquer, Caroline
%A Ramisch, Carlos
%A Savary, Agata
%A Antoine, Jean-Yves
%Y Savary, Agata
%Y Ramisch, Carlos
%Y Hwang, Jena D.
%Y Schneider, Nathan
%Y Andresen, Melanie
%Y Pradhan, Sameer
%Y Petruck, Miriam R. L.
%S Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F pasquer-etal-2018-varide
%X 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). Our system focuses on the task of VMWE variant identification by using morphosyntactic information in the training data to predict if candidates extracted from the test corpus could be idiomatic, thanks to a naive Bayes classifier. We report results for 19 languages.
%U https://aclanthology.org/W18-4932
%P 283-289
Markdown (Informal)
[VarIDE at PARSEME Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?](https://aclanthology.org/W18-4932) (Pasquer et al., LAW-MWE 2018)
ACL