@inproceedings{lu-etal-2020-iscas,
title = "{ISCAS} at {S}em{E}val-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling",
author = "Lu, Yaojie and
Li, Annan and
Lin, Hongyu and
Han, Xianpei and
Sun, Le",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.85",
doi = "10.18653/v1/2020.semeval-1.85",
pages = "658--663",
abstract = "ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pretrained transformers. For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at \url{https://github.com/casnlu/ISCASSemEval2020Task5}.",
}
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<abstract>ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pretrained transformers. For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at https://github.com/casnlu/ISCASSemEval2020Task5.</abstract>
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%0 Conference Proceedings
%T ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
%A Lu, Yaojie
%A Li, Annan
%A Lin, Hongyu
%A Han, Xianpei
%A Sun, Le
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F lu-etal-2020-iscas
%X ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pretrained transformers. For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at https://github.com/casnlu/ISCASSemEval2020Task5.
%R 10.18653/v1/2020.semeval-1.85
%U https://aclanthology.org/2020.semeval-1.85
%U https://doi.org/10.18653/v1/2020.semeval-1.85
%P 658-663
Markdown (Informal)
[ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling](https://aclanthology.org/2020.semeval-1.85) (Lu et al., SemEval 2020)
ACL