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The Financial Narrative Summarisation Shared Task FNS 2021

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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The Financial Narrative Summarisation Shared Task FNS 2021. / Zmandar, Nadhem; El-Haj, Mahmoud; Rayson, Paul et al.
Proceedings of the 3rd Financial Narrative Processing Workshop: FNP 2021. Vol. 3 Lancaster, United Kingdom: Association for Computational Linguistics (ACL Anthology), 2021. p. 120-125.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Zmandar, N, El-Haj, M, Rayson, P, Abura'Ed, A, Litvak, M, Giannakopoulos, G & Pittaras, N 2021, The Financial Narrative Summarisation Shared Task FNS 2021. in Proceedings of the 3rd Financial Narrative Processing Workshop: FNP 2021. vol. 3, Association for Computational Linguistics (ACL Anthology), Lancaster, United Kingdom, pp. 120-125. <https://aclanthology.org/2021.fnp-1.22>

APA

Zmandar, N., El-Haj, M., Rayson, P., Abura'Ed, A., Litvak, M., Giannakopoulos, G., & Pittaras, N. (2021). The Financial Narrative Summarisation Shared Task FNS 2021. In Proceedings of the 3rd Financial Narrative Processing Workshop: FNP 2021 (Vol. 3, pp. 120-125). Association for Computational Linguistics (ACL Anthology). https://aclanthology.org/2021.fnp-1.22

Vancouver

Zmandar N, El-Haj M, Rayson P, Abura'Ed A, Litvak M, Giannakopoulos G et al. The Financial Narrative Summarisation Shared Task FNS 2021. In Proceedings of the 3rd Financial Narrative Processing Workshop: FNP 2021. Vol. 3. Lancaster, United Kingdom: Association for Computational Linguistics (ACL Anthology). 2021. p. 120-125

Author

Zmandar, Nadhem ; El-Haj, Mahmoud ; Rayson, Paul et al. / The Financial Narrative Summarisation Shared Task FNS 2021. Proceedings of the 3rd Financial Narrative Processing Workshop: FNP 2021. Vol. 3 Lancaster, United Kingdom : Association for Computational Linguistics (ACL Anthology), 2021. pp. 120-125

Bibtex

@inproceedings{0d0e57477a1a4b19aeaefc75913bf42b,
title = "The Financial Narrative Summarisation Shared Task FNS 2021",
abstract = "This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK annual reports. The shared task was organised as part of the Financial Narrative Processing 2021 Workshop (FNP 2021 Workshop). The shared task included one main task which is the use of either abstractive or extractive automatic summarisers to summarise longdocuments in terms of UK financial annual reports. This shared task is the second to target financial documents. The data for the shared task was created and collected from publicly available UK annual reports published by firms listed on the London Stock Exchange. A total number of 10 systems from 5 differentteams participated in the shared task. In addition, we had two baseline and two topline summarisers to help evaluate the results of the participating teams and compare them to the state-of-the-art systems.",
author = "Nadhem Zmandar and Mahmoud El-Haj and Paul Rayson and Ahmed Abura'Ed and Marina Litvak and George Giannakopoulos and Nikiforos Pittaras",
year = "2021",
month = oct,
day = "26",
language = "English",
volume = "3",
pages = "120--125",
booktitle = "Proceedings of the 3rd Financial Narrative Processing Workshop",
publisher = "Association for Computational Linguistics (ACL Anthology)",

}

RIS

TY - GEN

T1 - The Financial Narrative Summarisation Shared Task FNS 2021

AU - Zmandar, Nadhem

AU - El-Haj, Mahmoud

AU - Rayson, Paul

AU - Abura'Ed, Ahmed

AU - Litvak, Marina

AU - Giannakopoulos, George

AU - Pittaras, Nikiforos

PY - 2021/10/26

Y1 - 2021/10/26

N2 - This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK annual reports. The shared task was organised as part of the Financial Narrative Processing 2021 Workshop (FNP 2021 Workshop). The shared task included one main task which is the use of either abstractive or extractive automatic summarisers to summarise longdocuments in terms of UK financial annual reports. This shared task is the second to target financial documents. The data for the shared task was created and collected from publicly available UK annual reports published by firms listed on the London Stock Exchange. A total number of 10 systems from 5 differentteams participated in the shared task. In addition, we had two baseline and two topline summarisers to help evaluate the results of the participating teams and compare them to the state-of-the-art systems.

AB - This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK annual reports. The shared task was organised as part of the Financial Narrative Processing 2021 Workshop (FNP 2021 Workshop). The shared task included one main task which is the use of either abstractive or extractive automatic summarisers to summarise longdocuments in terms of UK financial annual reports. This shared task is the second to target financial documents. The data for the shared task was created and collected from publicly available UK annual reports published by firms listed on the London Stock Exchange. A total number of 10 systems from 5 differentteams participated in the shared task. In addition, we had two baseline and two topline summarisers to help evaluate the results of the participating teams and compare them to the state-of-the-art systems.

M3 - Conference contribution/Paper

VL - 3

SP - 120

EP - 125

BT - Proceedings of the 3rd Financial Narrative Processing Workshop

PB - Association for Computational Linguistics (ACL Anthology)

CY - Lancaster, United Kingdom

ER -