Similarity measures are a vital tool for understanding how language models represent and
process language. Standard representational similarity measures such as cosine similarity …

Unlike literal expressions, idioms' meanings do not directly follow from their parts, posing a
challenge for neural machine translation (NMT). NMT models are often unable to translate …

This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence
Embedding, which consists of two subtasks:(a) a binary classification task aimed at …

Despite their success in a variety of NLP tasks, pre-trained language models, due to their
heavy reliance on compositionality, fail in effectively capturing the meanings of multiword …

Construction Grammar (CxG) has recently been used as the basis for probing studies that
have investigated the performance of large pretrained language models (PLMs) with respect …

O Processamento de Linguagem Natural (PLN) surgiu praticamente ao mesmo tempo que
os computadores, por volta da década de 1940, já que a tradução automática entre línguas …

Multiword expressions (MWEs) are composed of multiple words and exhibit variable
degrees of compositionality. As such, their meanings are notoriously difficult to model, and it …

Idioms are phrases which present a figurative meaning that cannot be (completely) derived
by looking at the meaning of their individual components. Identifying and understanding …

In this paper, we analyze zero-shot taxonomy learning methods which are based on
distilling knowledge from language models via prompting and sentence scoring. We show …

To date, transformer-based models such as BERT have been less successful in predicting
compositionality of noun compounds than static word embeddings. This is likely related to a …