Publication detail

BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense

JON, J. FAJČÍK, M. DOČEKAL, M. SMRŽ, P.

Original Title

BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense

Type

conference paper

Language

English

Original Abstract

We participated in all three subtasks. In subtasks A and B, our submissions are based on pretrained language representation models (namely ALBERT) and data augmentation. We experimented with solving the task for another language, Czech, by means of multilingual models and machine translated dataset, or translated model inputs. We show that with a strong machine translation system, our system can be used in another language with a small accuracy loss. In subtask C, our submission, which is based on pretrained sequence-to-sequence model (BART), ranked 1st in BLEU score ranking, however, we show that the correlation between BLEU and human evaluation, in which our submission ended up 4th, is low. We analyse the metrics used in the evaluation and we propose an additional score based on model from subtask B, which correlates well with our manual ranking, as well as reranking method based on the same principle. We performed an error and dataset analysis for all subtasks and we present our findings.

Keywords

NLP, commonsense, pretrained language models, multilingual, machine translation

Authors

JON, J.; FAJČÍK, M.; DOČEKAL, M.; SMRŽ, P.

Released

16. 12. 2020

Publisher

Association for Computational Linguistics

Location

Barcelona

ISBN

978-1-952148-31-6

Book

Proceedings of the Fourteenth Workshop on Semantic Evaluation

Pages from

374

Pages to

390

Pages count

16

URL

https://www.aclweb.org/anthology/2020.semeval-1.46/

BibTex

@inproceedings{BUT168507,
  author="Josef {Jon} and Martin {Fajčík} and Martin {Dočekal} and Pavel {Smrž}",
  title="BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense",
  booktitle="Proceedings of the Fourteenth Workshop on Semantic Evaluation",
  year="2020",
  pages="374--390",
  publisher="Association for Computational Linguistics",
  address="Barcelona",
  isbn="978-1-952148-31-6",
  url="https://www.aclweb.org/anthology/2020.semeval-1.46/"
}