This paper describes the ERMI system submitted to the closed track of the PARSEME
shared task 2020 on automatic identification of verbal multiword expressions (VMWEs) …

This paper reports on the investigation of using pre-trained language models for the
identification of Irish verbal multiword expressions (vMWEs), comparing the results with the …

Multiword expression (MWE) identification has been the focus of numerous research papers,
especially in the context of the DiMSUM and PARSEME Shared Tasks (STs). This survey …

It is well-documented that Multiword Expressions (MWEs) pose a unique challenge to a
variety of NLP tasks such as machine translation, parsing, information retrieval, and more …

Understanding multiword expressions (MWEs) plays an instrumental role in Natural
Language Processing applications such as parsing and machine translation. MWE …

Verbal multiword expression (VMWE) identification is a challenging task for many natural
language processing studies. In this study, sequence tagging approach accompanied with …