This paper investigates the ability of multilingual BERT (mBERT) language model to transfer
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …

The idea that ambiguity can be productive in data science remains controversial. Efforts to
make scientific publications and data intelligible to computers generally assume that …

It has been conjectured that multilingual information can help monolingual word sense
disambiguation (WSD). However, existing WSD systems rarely consider multilingual …

Constructing lexicons with explicitly identified lexical gaps is a vital part of building
multilingual lexical resources. Prior work has leveraged bilingual dictionaries and linguistic …

Colexification occurs when two distinct concepts are lexified by the same word. The term
covers both polysemy and homonymy. We posit and investigate the hypothesis that no pair …

Acquisition of multilingual training data continues to be a challenge in word sense
disambiguation (WSD). To address this problem, unsupervised approaches have been …

Semantic tasks are rarely formally defined, and the exact relationship between them is an
open question. We introduce a taxonomy that elucidates the connection between several …

We describe our two systems for the shared task on Lexical Semantic Change Discovery in
Spanish. For binary change detection, we frame the task as a word sense disambiguation …

We describe the University of Alberta systems for the SemEval-2022 Task 2 on multilingual
idiomaticity detection. Working under the assumption that idiomatic expressions are …

The Word-in-Context (WiC) task has attracted considerable attention in the NLP community,
as demonstrated by the popularity of the recent MCL-WiC SemEval shared task. Systems …