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        <title>EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction</title>
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    <name type="personal">
        <namePart type="given">Huiling</namePart>
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    <name type="personal">
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        <namePart type="family">Samuel</namePart>
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    <name type="personal">
        <namePart type="given">Samia</namePart>
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    <name type="personal">
        <namePart type="given">Lilja</namePart>
        <namePart type="family">Øvrelid</namePart>
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            <title>Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)</title>
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        <name type="personal">
            <namePart type="given">Ali</namePart>
            <namePart type="family">Hürriyetoğlu</namePart>
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            <namePart type="given">Hristo</namePart>
            <namePart type="family">Tanev</namePart>
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        <name type="personal">
            <namePart type="given">Vanni</namePart>
            <namePart type="family">Zavarella</namePart>
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        <name type="personal">
            <namePart type="given">Erdem</namePart>
            <namePart type="family">Yörük</namePart>
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    <abstract>This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the task of Protest Event Extraction and more specifically subtask 4 on event trigger and argument extraction. We experiment with various graphs, encoding the events as either “labeled-edge” or “node-centric” graphs. We show that the “node-centric” approach yields best results overall, performing well across the three languages of the task, namely English, Spanish, and Portuguese. EventGraph is ranked 3rd for English and Portuguese, and 4th for Spanish.</abstract>
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%0 Conference Proceedings
%T EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction
%A You, Huiling
%A Samuel, David
%A Touileb, Samia
%A Øvrelid, Lilja
%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 you-etal-2022-eventgraph-case
%X This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the task of Protest Event Extraction and more specifically subtask 4 on event trigger and argument extraction. We experiment with various graphs, encoding the events as either “labeled-edge” or “node-centric” graphs. We show that the “node-centric” approach yields best results overall, performing well across the three languages of the task, namely English, Spanish, and Portuguese. EventGraph is ranked 3rd for English and Portuguese, and 4th for Spanish.
%R 10.18653/v1/2022.case-1.22
%U https://aclanthology.org/2022.case-1.22
%U https://doi.org/10.18653/v1/2022.case-1.22
%P 155-160

Markdown (Informal)

[EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction](https://aclanthology.org/2022.case-1.22) (You et al., CASE 2022)

• EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction (You et al., CASE 2022)

ACL

• Huiling You, David Samuel, Samia Touileb, and Lilja Øvrelid. 2022. EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction. In Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE), pages 155–160, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.