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    <titleInfo>
        <title>The Financial Causality Extraction Shared Task (FinCausal 2022)</title>
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    <name type="personal">
        <namePart type="given">Dominique</namePart>
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    <name type="personal">
        <namePart type="given">Hanna</namePart>
        <namePart type="family">Abi-Akl</namePart>
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    <name type="personal">
        <namePart type="given">Mahmoud</namePart>
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            <title>Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022</title>
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            <namePart type="given">Mahmoud</namePart>
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            <namePart type="given">Paul</namePart>
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        <name type="personal">
            <namePart type="given">Nadhem</namePart>
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    <abstract>We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. The task focuses on detecting if an object, an event or a chain of events is considered a cause for a prior event. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context in regard to a previous situation. Therefore, the task will emphasise the detection of causality associated with transformation of financial objects embedded in quantified facts. A total number of 7 teams submitted system runs to the FinCausal task and contributed with a system description paper. FinCausal shared task is associated with the 4th Financial Narrative Processing Workshop (FNP 2022) (El-Haj et al., 2022) which is held at the The 13th Language Resources and Evaluation Conference (LREC 2022) in Marseille, France, on June 24, 2022.</abstract>
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            <start>105</start>
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%0 Conference Proceedings
%T The Financial Causality Extraction Shared Task (FinCausal 2022)
%A Mariko, Dominique
%A Abi-Akl, Hanna
%A Trottier, Kim
%A El-Haj, Mahmoud
%Y El-Haj, Mahmoud
%Y Rayson, Paul
%Y Zmandar, Nadhem
%S Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F mariko-etal-2022-financial
%X We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. The task focuses on detecting if an object, an event or a chain of events is considered a cause for a prior event. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context in regard to a previous situation. Therefore, the task will emphasise the detection of causality associated with transformation of financial objects embedded in quantified facts. A total number of 7 teams submitted system runs to the FinCausal task and contributed with a system description paper. FinCausal shared task is associated with the 4th Financial Narrative Processing Workshop (FNP 2022) (El-Haj et al., 2022) which is held at the The 13th Language Resources and Evaluation Conference (LREC 2022) in Marseille, France, on June 24, 2022.
%U https://aclanthology.org/2022.fnp-1.16/
%P 105-107

Markdown (Informal)

[The Financial Causality Extraction Shared Task (FinCausal 2022)](https://aclanthology.org/2022.fnp-1.16/) (Mariko et al., FNP 2022)

• The Financial Causality Extraction Shared Task (FinCausal 2022) (Mariko et al., FNP 2022)

ACL

• Dominique Mariko, Hanna Abi-Akl, Kim Trottier, and Mahmoud El-Haj. 2022. The Financial Causality Extraction Shared Task (FinCausal 2022). In Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022, pages 105–107, Marseille, France. European Language Resources Association.