UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a

Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene


Abstract
Commonsense Validation and Explanation has been a difficult task for machines since the dawn of computing. Although very trivial to humans it poses a high complexity for machines due to the necessity of inference over a pre-existing knowledge base. In order to try and solve this problem the SemEval 2020 Task 4 - ”Commonsense Validation and Explanation (ComVE)” aims to evaluate systems capable of multiple stages of ComVE. The challenge includes 3 tasks (A, B and C), each with it’s own requirements. Our team participated only in task A which required selecting the statement that made the least sense. We choose to use a bidirectional transformer in order to solve the challenge, this paper presents the details of our method, runs and result.
Anthology ID:
2020.semeval-1.77
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
609–613
Language:
URL:
https://aclanthology.org/2020.semeval-1.77
DOI:
10.18653/v1/2020.semeval-1.77
Bibkey:
Cite (ACL):
Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, and Adrian Iftene. 2020. UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 609–613, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a (Cusmuliuc et al., SemEval 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/2020.semeval-1.77.pdf