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The Financial Narrative Summarisation Shared Task (FNS 2023)

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The Financial Narrative Summarisation Shared Task (FNS 2023). / Zavitsanos, E.; Kosmopoulos, A.; Giannakopoulos, G. et al.
2023 IEEE International Conference on Big Data (BigData). ed. / Jingrui He; Themis Palpanas; Xiaohua Hu; Alfredo Cuzzocrea; Dejing Dou; Dominik Slezak; Wei Wang; Aleksandra Gruca; Jerry Chun-Wei Lin; Rakesh Agrawal. IEEE Computer Society Press, 2024. p. 2890-2896.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Zavitsanos, E, Kosmopoulos, A, Giannakopoulos, G, Litvak, M, Carbajo-Coronado, B, Moreno-Sandoval, A & El-Haj, M 2024, The Financial Narrative Summarisation Shared Task (FNS 2023). in J He, T Palpanas, X Hu, A Cuzzocrea, D Dou, D Slezak, W Wang, A Gruca, JC-W Lin & R Agrawal (eds), 2023 IEEE International Conference on Big Data (BigData). IEEE Computer Society Press, pp. 2890-2896. https://doi.org/10.1109/BigData59044.2023.10386228

APA

Zavitsanos, E., Kosmopoulos, A., Giannakopoulos, G., Litvak, M., Carbajo-Coronado, B., Moreno-Sandoval, A., & El-Haj, M. (2024). The Financial Narrative Summarisation Shared Task (FNS 2023). In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, J. C.-W. Lin, & R. Agrawal (Eds.), 2023 IEEE International Conference on Big Data (BigData) (pp. 2890-2896). IEEE Computer Society Press. https://doi.org/10.1109/BigData59044.2023.10386228

Vancouver

Zavitsanos E, Kosmopoulos A, Giannakopoulos G, Litvak M, Carbajo-Coronado B, Moreno-Sandoval A et al. The Financial Narrative Summarisation Shared Task (FNS 2023). In He J, Palpanas T, Hu X, Cuzzocrea A, Dou D, Slezak D, Wang W, Gruca A, Lin JCW, Agrawal R, editors, 2023 IEEE International Conference on Big Data (BigData). IEEE Computer Society Press. 2024. p. 2890-2896 doi: 10.1109/BigData59044.2023.10386228

Author

Zavitsanos, E. ; Kosmopoulos, A. ; Giannakopoulos, G. et al. / The Financial Narrative Summarisation Shared Task (FNS 2023). 2023 IEEE International Conference on Big Data (BigData). editor / Jingrui He ; Themis Palpanas ; Xiaohua Hu ; Alfredo Cuzzocrea ; Dejing Dou ; Dominik Slezak ; Wei Wang ; Aleksandra Gruca ; Jerry Chun-Wei Lin ; Rakesh Agrawal. IEEE Computer Society Press, 2024. pp. 2890-2896

Bibtex

@inproceedings{f005d183f410491fb4eec8f23610c5c9,
title = "The Financial Narrative Summarisation Shared Task (FNS 2023)",
abstract = "This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK, Greek, and Spanish annual reports. The shared task was organised as part of the 5th Financial Narrative Processing Workshop (FNP 2023). The Financial Narrative summarisation Shared Task (FNS 2023) has been running since 2020 as part of the Financial Narrative Processing (FNP) workshop series [15–20]. The shared task included one main challenge, which is the use of either abstractive or extractive automatic summarisers to summarise long documents in terms of UK, Greek, and Spanish financial annual reports. This shared task is the fourth to target financial documents. The data for the shared task was created and collected from publicly available annual reports published by firms listed on the Stock Exchanges of the UK, Greece, and Spain. A total number of 6 systems from 3 different teams participated in the shared task.",
keywords = "conferences, big data, task analysis, stock markets",
author = "E. Zavitsanos and A. Kosmopoulos and G. Giannakopoulos and M. Litvak and B. Carbajo-Coronado and A. Moreno-Sandoval and M. El-Haj",
year = "2024",
month = feb,
day = "1",
doi = "10.1109/BigData59044.2023.10386228",
language = "English",
isbn = "9798350324464",
pages = "2890--2896",
editor = "Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Lin, {Jerry Chun-Wei} and Rakesh Agrawal",
booktitle = "2023 IEEE International Conference on Big Data (BigData)",
publisher = "IEEE Computer Society Press",

}

RIS

TY - GEN

T1 - The Financial Narrative Summarisation Shared Task (FNS 2023)

AU - Zavitsanos, E.

AU - Kosmopoulos, A.

AU - Giannakopoulos, G.

AU - Litvak, M.

AU - Carbajo-Coronado, B.

AU - Moreno-Sandoval, A.

AU - El-Haj, M.

PY - 2024/2/1

Y1 - 2024/2/1

N2 - This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK, Greek, and Spanish annual reports. The shared task was organised as part of the 5th Financial Narrative Processing Workshop (FNP 2023). The Financial Narrative summarisation Shared Task (FNS 2023) has been running since 2020 as part of the Financial Narrative Processing (FNP) workshop series [15–20]. The shared task included one main challenge, which is the use of either abstractive or extractive automatic summarisers to summarise long documents in terms of UK, Greek, and Spanish financial annual reports. This shared task is the fourth to target financial documents. The data for the shared task was created and collected from publicly available annual reports published by firms listed on the Stock Exchanges of the UK, Greece, and Spain. A total number of 6 systems from 3 different teams participated in the shared task.

AB - This paper presents the results and findings of the Financial Narrative Summarisation Shared Task on summarising UK, Greek, and Spanish annual reports. The shared task was organised as part of the 5th Financial Narrative Processing Workshop (FNP 2023). The Financial Narrative summarisation Shared Task (FNS 2023) has been running since 2020 as part of the Financial Narrative Processing (FNP) workshop series [15–20]. The shared task included one main challenge, which is the use of either abstractive or extractive automatic summarisers to summarise long documents in terms of UK, Greek, and Spanish financial annual reports. This shared task is the fourth to target financial documents. The data for the shared task was created and collected from publicly available annual reports published by firms listed on the Stock Exchanges of the UK, Greece, and Spain. A total number of 6 systems from 3 different teams participated in the shared task.

KW - conferences

KW - big data

KW - task analysis

KW - stock markets

U2 - 10.1109/BigData59044.2023.10386228

DO - 10.1109/BigData59044.2023.10386228

M3 - Conference contribution/Paper

SN - 9798350324464

SP - 2890

EP - 2896

BT - 2023 IEEE International Conference on Big Data (BigData)

A2 - He, Jingrui

A2 - Palpanas, Themis

A2 - Hu, Xiaohua

A2 - Cuzzocrea, Alfredo

A2 - Dou, Dejing

A2 - Slezak, Dominik

A2 - Wang, Wei

A2 - Gruca, Aleksandra

A2 - Lin, Jerry Chun-Wei

A2 - Agrawal, Rakesh

PB - IEEE Computer Society Press

ER -