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        <title>Temporal Relation Classification using Boolean Question Answering</title>
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    <abstract>Classifying temporal relations between a pair of events is crucial to natural language understanding and a well-known natural language processing task. Given a document and two event mentions, the task is aimed at finding which one started first. We propose an efficient approach for temporal relation classification (TRC) using a boolean question answering (QA) model which we fine-tune on questions that we carefully design based on the TRC annotation guidelines, thereby mimicking the way human annotators approach the task. Our new QA-based TRC model outperforms previous state-of-the-art results by 2.4%.</abstract>
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    <identifier type="doi">10.18653/v1/2023.findings-acl.116</identifier>
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%0 Conference Proceedings
%T Temporal Relation Classification using Boolean Question Answering
%A Cohen, Omer
%A Bar, Kfir
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F cohen-bar-2023-temporal
%X Classifying temporal relations between a pair of events is crucial to natural language understanding and a well-known natural language processing task. Given a document and two event mentions, the task is aimed at finding which one started first. We propose an efficient approach for temporal relation classification (TRC) using a boolean question answering (QA) model which we fine-tune on questions that we carefully design based on the TRC annotation guidelines, thereby mimicking the way human annotators approach the task. Our new QA-based TRC model outperforms previous state-of-the-art results by 2.4%.
%R 10.18653/v1/2023.findings-acl.116
%U https://aclanthology.org/2023.findings-acl.116
%U https://doi.org/10.18653/v1/2023.findings-acl.116
%P 1843-1852

Markdown (Informal)

[Temporal Relation Classification using Boolean Question Answering](https://aclanthology.org/2023.findings-acl.116) (Cohen & Bar, Findings 2023)

• Temporal Relation Classification using Boolean Question Answering (Cohen & Bar, Findings 2023)

ACL

• Omer Cohen and Kfir Bar. 2023. Temporal Relation Classification using Boolean Question Answering. In Findings of the Association for Computational Linguistics: ACL 2023, pages 1843–1852, Toronto, Canada. Association for Computational Linguistics.