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The Financial Causality Extraction Shared Task (FinCausal 2022)

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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The Financial Causality Extraction Shared Task (FinCausal 2022). / Mariko, Dominique; Trottier, Kim; El-Haj, Mahmoud.
2022. 114-116 Paper presented at The 4th Financial Narrative Processing Workshop, Marseille, France.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Mariko, D, Trottier, K & El-Haj, M 2022, 'The Financial Causality Extraction Shared Task (FinCausal 2022)', Paper presented at The 4th Financial Narrative Processing Workshop, Marseille, France, 24/06/22 - 24/06/22 pp. 114-116. <http://www.lrec-conf.org/proceedings/lrec2022/workshops/FNP/pdf/2022.fnp-1.17.pdf>

APA

Mariko, D., Trottier, K., & El-Haj, M. (2022). The Financial Causality Extraction Shared Task (FinCausal 2022). 114-116. Paper presented at The 4th Financial Narrative Processing Workshop, Marseille, France. http://www.lrec-conf.org/proceedings/lrec2022/workshops/FNP/pdf/2022.fnp-1.17.pdf

Vancouver

Mariko D, Trottier K, El-Haj M. The Financial Causality Extraction Shared Task (FinCausal 2022). 2022. Paper presented at The 4th Financial Narrative Processing Workshop, Marseille, France.

Author

Mariko, Dominique ; Trottier, Kim ; El-Haj, Mahmoud. / The Financial Causality Extraction Shared Task (FinCausal 2022). Paper presented at The 4th Financial Narrative Processing Workshop, Marseille, France.3 p.

Bibtex

@conference{4dec30d33d8540d5bcafca1cf574d227,
title = "The Financial Causality Extraction Shared Task (FinCausal 2022)",
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.",
author = "Dominique Mariko and Kim Trottier and Mahmoud El-Haj",
year = "2022",
month = jun,
day = "15",
language = "English",
pages = "114--116",
note = "The 4th Financial Narrative Processing Workshop, FNP 2022 ; Conference date: 24-06-2022 Through 24-06-2022",
url = "http://wp.lancs.ac.uk/cfie/fnp2022/",

}

RIS

TY - CONF

T1 - The Financial Causality Extraction Shared Task (FinCausal 2022)

AU - Mariko, Dominique

AU - Trottier, Kim

AU - El-Haj, Mahmoud

N1 - Conference code: 4

PY - 2022/6/15

Y1 - 2022/6/15

N2 - 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.

AB - 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.

UR - https://aclanthology.org/2022.fnp-1.17

M3 - Conference paper

SP - 114

EP - 116

T2 - The 4th Financial Narrative Processing Workshop

Y2 - 24 June 2022 through 24 June 2022

ER -