@inproceedings{ojha-etal-2020-iitk,
title = "{IITK}-{RSA} at {S}em{E}val-2020 Task 5: Detecting Counterfactuals",
author = "Ojha, Anirudh Anil and
Garg, Rohin and
Gupta, Shashank and
Modi, Ashutosh",
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-1.56",
doi = "10.18653/v1/2020.semeval-1.56",
pages = "458--467",
abstract = "This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into their constituent elements. Our final submitted approaches were an ensemble of various fine-tuned transformer-based and CNN-based models for the first subtask and a transformer model with dependency tree information for the second subtask. We ranked 4-th and 9-th in the overall leaderboard. We also explored various other approaches that involved classical methods, other neural architectures and incorporation of different linguistic features.",
}
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<abstract>This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into their constituent elements. Our final submitted approaches were an ensemble of various fine-tuned transformer-based and CNN-based models for the first subtask and a transformer model with dependency tree information for the second subtask. We ranked 4-th and 9-th in the overall leaderboard. We also explored various other approaches that involved classical methods, other neural architectures and incorporation of different linguistic features.</abstract>
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%0 Conference Proceedings
%T IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
%A Ojha, Anirudh Anil
%A Garg, Rohin
%A Gupta, Shashank
%A Modi, Ashutosh
%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 ojha-etal-2020-iitk
%X This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into their constituent elements. Our final submitted approaches were an ensemble of various fine-tuned transformer-based and CNN-based models for the first subtask and a transformer model with dependency tree information for the second subtask. We ranked 4-th and 9-th in the overall leaderboard. We also explored various other approaches that involved classical methods, other neural architectures and incorporation of different linguistic features.
%R 10.18653/v1/2020.semeval-1.56
%U https://aclanthology.org/2020.semeval-1.56
%U https://doi.org/10.18653/v1/2020.semeval-1.56
%P 458-467
Markdown (Informal)
[IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals](https://aclanthology.org/2020.semeval-1.56) (Ojha et al., SemEval 2020)
ACL