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        <title>Enhancing Event Causality Identification with Counterfactual Reasoning</title>
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    <abstract>Existing methods for event causality identification (ECI) focus on mining potential causal signals, i.e., causal context keywords and event pairs. However, causal signals are ambiguous, which may lead to the context-keywords bias and the event-pairs bias. To solve this issue, we propose the counterfactual reasoning that explicitly estimates the influence of context keywords and event pairs in training, so that we are able to eliminate the biases in inference.Experiments are conducted on two datasets, the result demonstrates the effectiveness of our method.</abstract>
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%0 Conference Proceedings
%T Enhancing Event Causality Identification with Counterfactual Reasoning
%A Mu, Feiteng
%A Li, Wenjie
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F mu-li-2023-enhancing
%X Existing methods for event causality identification (ECI) focus on mining potential causal signals, i.e., causal context keywords and event pairs. However, causal signals are ambiguous, which may lead to the context-keywords bias and the event-pairs bias. To solve this issue, we propose the counterfactual reasoning that explicitly estimates the influence of context keywords and event pairs in training, so that we are able to eliminate the biases in inference.Experiments are conducted on two datasets, the result demonstrates the effectiveness of our method.
%R 10.18653/v1/2023.acl-short.83
%U https://aclanthology.org/2023.acl-short.83
%U https://doi.org/10.18653/v1/2023.acl-short.83
%P 967-975

Markdown (Informal)

[Enhancing Event Causality Identification with Counterfactual Reasoning](https://aclanthology.org/2023.acl-short.83) (Mu & Li, ACL 2023)

• Enhancing Event Causality Identification with Counterfactual Reasoning (Mu & Li, ACL 2023)

ACL

• Feiteng Mu and Wenjie Li. 2023. Enhancing Event Causality Identification with Counterfactual Reasoning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 967–975, Toronto, Canada. Association for Computational Linguistics.