TY - GEN
T1 - The Financial Narrative Summarisation Shared Task (FNS 2022)
AU - El-Haj, Mahmoud
AU - Zmandar, Nadhem
AU - Rayson, Paul
AU - AbuRa’ed, Ahmed
AU - Litvak, Marina
AU - Pittaras, Nikiforos
AU - Giannakopoulos, George
AU - Kosmopoulos, Aris
AU - Carbajo-Coronado, Blanca
AU - Moreno-Sandoval, Antonio
N1 - Publisher Copyright:
© European Language Resources Association (ELRA)
PY - 2022/1/1
Y1 - 2022/1/1
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 Financial Narrative Processing 2022 Workshop (FNP 2022 Workshop). The Financial Narrative summarisation Shared Task (FNS-2022) has been running since 2020 as part of the Financial Narrative Processing (FNP) workshop series (El-Haj et al., 2022; El-Haj et al., 2021; El-Haj et al., 2020b; El-Haj et al., 2019c; El-Haj et al., 2018). The shared task included one main task 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 third 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 UK, Greece and Spain. A total number of 14 systems from 7 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 Financial Narrative Processing 2022 Workshop (FNP 2022 Workshop). The Financial Narrative summarisation Shared Task (FNS-2022) has been running since 2020 as part of the Financial Narrative Processing (FNP) workshop series (El-Haj et al., 2022; El-Haj et al., 2021; El-Haj et al., 2020b; El-Haj et al., 2019c; El-Haj et al., 2018). The shared task included one main task 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 third 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 UK, Greece and Spain. A total number of 14 systems from 7 different teams participated in the shared task.
UR - http://www.scopus.com/inward/record.url?scp=85145879176&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85145879176
T3 - Proceedings of the Language Resources and Evaluation Conference, LREC 2022 Workshop on 4th Financial Narrative Processing Workshop, FNP 2022
SP - 43
EP - 52
BT - Proceedings of the Language Resources and Evaluation Conference, LREC 2022 Workshop on 4th Financial Narrative Processing Workshop, FNP 2022
A2 - El-Haj, Mahmoud
A2 - Rayson, Paul
A2 - Zmandar, Nadhem
PB - European Language Resources Association (ELRA)
T2 - 4th Financial Narrative Processing Workshop, FNP 2022
Y2 - 24 June 2022
ER -