no code implementations • JEP/TALN/RECITAL 2022 • Nicolas Zampieri, Carlos Ramisch, Irina Illina, Dominique Fohr
L’identification des expressions polylexicales (EP) dans les tweets est une tâche difficile en raison de la nature linguistique complexe des EP combinée à l’utilisation d’un langage non standard.
no code implementations • LREC 2022 • Nicolas Zampieri, Carlos Ramisch, Irina Illina, Dominique Fohr
In this article, we present joint experiments on these two related tasks on English Twitter data: first we focus on the MWE identification task, and then we observe the influence of MWE-based features on the HSD task.
no code implementations • 1 Jun 2021 • Nicolas Zampieri, Irina Illina, Dominique Fohr
To incorporate MWE features, we create a three-branch deep neural network: one branch for USE, one for MWE categories, and one for MWE embeddings.
no code implementations • WS 2019 • Nicolas Zampieri, Carlos Ramisch, Geraldine Damnati
Recent initiatives such as the PARSEME shared task allowed the rapid development of MWE identification systems.
1 code implementation • COLING 2018 • Nicolas Zampieri, Manon Scholivet, Carlos Ramisch, Benoit Favre
This paper describes the Veyn system, submitted to the closed track of the PARSEME Shared Task 2018 on automatic identification of verbal multiword expressions (VMWEs).