We present a novel representation, evaluation measure, and supervised models for the task
of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical …

We predict the compositionality of multiword expressions using distributional similarity
between each component word and the overall expression, based on translations into …

Processing of multi-word expressions (MWEs) is a known problem for any natural language
processing task. Even neural machine translation (NMT) struggles to overcome it. This paper …

This paper outlines a methodology and a system for collocation retrieval and translation from
parallel and comparable corpora, developed with translators and language learners in mind …

We present a new unsupervised mechanism, which ranks word n-grams according to their
multiwordness. It heavily relies on a new uniqueness measure that computes, based on a …

In this article, we analyze Spanish multiword expressions (MWEs) and describe their
linguistic properties. The ultimate goal of our analysis is to find an MWE taxonomy for …

The CogNLP-Sheffield submissions to the CMCL 2021 Shared Task examine the value of a
variety of cognitively and linguistically inspired features for predicting eye tracking patterns …

We present a method for extracting Multiword Expressions (MWEs) based on the immediate
context they occur in, using a supervised model. We show some of these contextual features …

Multiword expressions are omnipresent element of natural language, whose construal as a
linguistic resource has significant importance in various applications. This paper presents an …

En este texto presentaremos las distintas etapas de la investigación sistemática en
terminología, con el objetivo de presentar directrices que sirvan de base para que se lleve a …