FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation

Ciprian Bodnar, Andrada Tapuc, Cosmin Pintilie, Daniela Gifu, Diana Trandabat


Abstract
This paper presents a word-in-context disambiguation system. The task focuses on capturing the polysemous nature of words in a multilingual and cross-lingual setting, without considering a strict inventory of word meanings. The system applies Natural Language Processing algorithms on datasets from SemEval 2021 Task 2, being able to identify the meaning of words for the languages Arabic, Chinese, English, French and Russian, without making use of any additional mono- or multilingual resources.
Anthology ID:
2021.semeval-1.104
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
787–792
Language:
URL:
https://aclanthology.org/2021.semeval-1.104
DOI:
10.18653/v1/2021.semeval-1.104
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.semeval-1.104.pdf