TY - GEN
T1 - The Financial Narrative Summarisation Shared Task (FNS 2023)
AU - Zavitsanos, Elias
AU - Kosmopoulos, Aris
AU - Giannakopoulos, George
AU - Litvak, Marina
AU - Carbajo-Coronado, Blanca
AU - Moreno-Sandoval, Antonio
AU - El-Haj, Mo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
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 - abstractive summarisation
KW - annual reports
KW - extractive summarisation
KW - financial narrative processing
KW - financial narrative summarisation
UR - https://www.scopus.com/pages/publications/85184987574
U2 - 10.1109/BigData59044.2023.10386228
DO - 10.1109/BigData59044.2023.10386228
M3 - Conference contribution
AN - SCOPUS:85184987574
T3 - Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023
SP - 2890
EP - 2896
BT - Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023
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 - Institute of Electrical and Electronics Engineers
T2 - 2023 IEEE International Conference on Big Data, BigData 2023
Y2 - 15 December 2023 through 18 December 2023
ER -