@inproceedings{chen-etal-2022-1cademy,
title = "1{C}ademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector",
author = "Chen, Xingran and
Zhang, Ge and
Nik, Adam and
Li, Mingyu and
Fu, Jie",
editor = {H{\"u}rriyeto{\u{g}}lu, Ali and
Tanev, Hristo and
Zavarella, Vanni and
Y{\"o}r{\"u}k, Erdem},
booktitle = "Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.case-1.14",
doi = "10.18653/v1/2022.case-1.14",
pages = "100--105",
abstract = "In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection{---}Subtask 2 of Shared task 3 at CASE 2022. The shared task aims to extract the cause, effect, and signal spans from a given causal sentence. We model the task as a reading comprehension (RC) problem and apply a token-level RC-based span prediction paradigm to the task as the baseline. We explore different training objectives to fine-tune the model, as well as data augmentation (DA) tricks based on the language model (LM) for performance improvement. Additionally, we propose an efficient beam-search post-processing strategy to due with the drawbacks of span detection to obtain a further performance gain. Our approach achieves an average $F_1$ score of 54.15 and ranks \textbf{ $1ˆ{st}$ } in the CASE competition. Our code is available at \url{https://github.com/Gzhang-umich/1CademyTeamOfCASE}.",
}
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<abstract>In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection—Subtask 2 of Shared task 3 at CASE 2022. The shared task aims to extract the cause, effect, and signal spans from a given causal sentence. We model the task as a reading comprehension (RC) problem and apply a token-level RC-based span prediction paradigm to the task as the baseline. We explore different training objectives to fine-tune the model, as well as data augmentation (DA) tricks based on the language model (LM) for performance improvement. Additionally, we propose an efficient beam-search post-processing strategy to due with the drawbacks of span detection to obtain a further performance gain. Our approach achieves an average F₁ score of 54.15 and ranks 1ˆst in the CASE competition. Our code is available at https://github.com/Gzhang-umich/1CademyTeamOfCASE.</abstract>
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%0 Conference Proceedings
%T 1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
%A Chen, Xingran
%A Zhang, Ge
%A Nik, Adam
%A Li, Mingyu
%A Fu, Jie
%Y Hürriyetoğlu, Ali
%Y Tanev, Hristo
%Y Zavarella, Vanni
%Y Yörük, Erdem
%S Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F chen-etal-2022-1cademy
%X In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection—Subtask 2 of Shared task 3 at CASE 2022. The shared task aims to extract the cause, effect, and signal spans from a given causal sentence. We model the task as a reading comprehension (RC) problem and apply a token-level RC-based span prediction paradigm to the task as the baseline. We explore different training objectives to fine-tune the model, as well as data augmentation (DA) tricks based on the language model (LM) for performance improvement. Additionally, we propose an efficient beam-search post-processing strategy to due with the drawbacks of span detection to obtain a further performance gain. Our approach achieves an average F₁ score of 54.15 and ranks 1ˆst in the CASE competition. Our code is available at https://github.com/Gzhang-umich/1CademyTeamOfCASE.
%R 10.18653/v1/2022.case-1.14
%U https://aclanthology.org/2022.case-1.14
%U https://doi.org/10.18653/v1/2022.case-1.14
%P 100-105
Markdown (Informal)
[1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector](https://aclanthology.org/2022.case-1.14) (Chen et al., CASE 2022)
ACL