Detail výsledku

BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models

FAJČÍK, M.; DOČEKAL, M.; JON, J.; SMRŽ, P. BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, 2020. p. 437-444. ISBN: 978-1-952148-31-6.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Fajčík Martin, Ing., Ph.D., UPGM (FIT)
Dočekal Martin, Ing., UPGM (FIT)
Jon Josef, Ing.
Smrž Pavel, doc. RNDr., Ph.D., UPGM (FIT)
Abstrakt

This paper describes BUT-FITs submission at SemEval-2020 Task 5:
Modelling Causal Reasoning in Language: Detecting Counterfactuals. The
challenge focused on detecting whether a given statement contains a
counterfactual (Subtask 1) and extracting both antecedent and consequent
parts of the counterfactual from the text (Subtask 2). We experimented
with various state-of-the-art language representation models (LRMs). We
found RoBERTa LRM to perform the best in both subtasks. We achieved the
first place in both exact match and F1 for Subtask 2 and ranked second
for Subtask 1.

Klíčová slova

counterfactual, counterfactual reasoning, BERT, RoBERTa, ALBERT, causal reasoning, what-if, semeval, classification, extraction

URL
Rok
2020
Strany
437–444
Sborník
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Konference
The 28th International Conference on Computational Linguistics
ISBN
978-1-952148-31-6
Vydavatel
Association for Computational Linguistics
Místo
Barcelona (online)
UT WoS
001361895500053
EID Scopus
BibTeX
@inproceedings{BUT168151,
  author="Martin {Fajčík} and Martin {Dočekal} and Josef {Jon} and Pavel {Smrž}",
  title="BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models",
  booktitle="Proceedings of the Fourteenth Workshop on Semantic Evaluation",
  year="2020",
  pages="437--444",
  publisher="Association for Computational Linguistics",
  address="Barcelona (online)",
  isbn="978-1-952148-31-6",
  url="https://www.aclweb.org/anthology/2020.semeval-1.53/"
}
Projekty
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, VUT, Vnitřní projekty VUT, FIT-S-20-6460, zahájení: 2020-03-01, ukončení: 2023-02-28, ukončen
Rozsáhlá extrakce informací a využití herních principů (gamifikace) pro osvojování nových jazyků na základě "moudrosti davů" (crowdsourcingu), MŠMT, INTER-EXCELLENCE - Podprogram INTER-COST, LTC18006, zahájení: 2018-06-01, ukončení: 2021-02-28, ukončen
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