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        <title>BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models</title>
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    <abstract>This paper describes BUT-FIT’s 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.</abstract>
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%0 Conference Proceedings
%T BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models
%A Fajcik, Martin
%A Jon, Josef
%A Docekal, Martin
%A Smrz, Pavel
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F fajcik-etal-2020-fit
%X This paper describes BUT-FIT’s 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.
%R 10.18653/v1/2020.semeval-1.53
%U https://aclanthology.org/2020.semeval-1.53
%U https://doi.org/10.18653/v1/2020.semeval-1.53
%P 437-444

Markdown (Informal)

[BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models](https://aclanthology.org/2020.semeval-1.53) (Fajcik et al., SemEval 2020)

• BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models (Fajcik et al., SemEval 2020)

ACL

• Martin Fajcik, Josef Jon, Martin Docekal, and Pavel Smrz. 2020. 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, pages 437–444, Barcelona (online). International Committee for Computational Linguistics.