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The Financial Narrative Summarisation Shared Task (FNS 2020)

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

Published

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The Financial Narrative Summarisation Shared Task (FNS 2020). / El Haj, Mahmoud; Giannakopoulos, George; AbuRa'ed, Ahmed et al.
The First Financial Narrative Processing Workshop: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. ed. / Mahmoud El-Haj. 2020.

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

Harvard

El Haj, M, Giannakopoulos, G, AbuRa'ed, A, Litvak, M & Pittaras, N 2020, The Financial Narrative Summarisation Shared Task (FNS 2020). in M El-Haj (ed.), The First Financial Narrative Processing Workshop: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. <https://www.aclweb.org/anthology/2020.fnp-1.1/>

APA

El Haj, M., Giannakopoulos, G., AbuRa'ed, A., Litvak, M., & Pittaras, N. (2020). The Financial Narrative Summarisation Shared Task (FNS 2020). In M. El-Haj (Ed.), The First Financial Narrative Processing Workshop: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation https://www.aclweb.org/anthology/2020.fnp-1.1/

Vancouver

El Haj M, Giannakopoulos G, AbuRa'ed A, Litvak M, Pittaras N. The Financial Narrative Summarisation Shared Task (FNS 2020). In El-Haj M, editor, The First Financial Narrative Processing Workshop: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. 2020

Author

El Haj, Mahmoud ; Giannakopoulos, George ; AbuRa'ed, Ahmed et al. / The Financial Narrative Summarisation Shared Task (FNS 2020). The First Financial Narrative Processing Workshop: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. editor / Mahmoud El-Haj. 2020.

Bibtex

@inproceedings{6377fc464f9c4687aa941533ad613c59,
title = "The Financial Narrative Summarisation Shared Task (FNS 2020)",
abstract = "This paper presents the results and findings of the Financial Narrative Summarisation shared task (FNS 2020) on summarising UK annual reports. The shared task was organised as part of the 1st Financial Narrative Processing and Financial Narrative Summarisation Workshop (FNP-FNS 2020). The shared task included one main task which is the use of either abstractive or extractive summarisation methodologies and techniques to automatically summarise UK financial annual reports. FNS summarisation shared task is the first to target financial annual reports. 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 (LSE). A total number of 24 systems from 9 different teams participated in the shared task. In addition we had 2 baseline summarisers and additional 2 topline summarisers to help evaluate and compare against the results of the participants.",
keywords = "Financial Narrative Processing, NLP, annual reports, Information Extraction, summarisation",
author = "{El Haj}, Mahmoud and George Giannakopoulos and Ahmed AbuRa'ed and Marina Litvak and Nikiforos Pittaras",
year = "2020",
month = dec,
day = "1",
language = "English",
isbn = "9791095546238",
editor = "Mahmoud El-Haj",
booktitle = "The First Financial Narrative Processing Workshop",

}

RIS

TY - GEN

T1 - The Financial Narrative Summarisation Shared Task (FNS 2020)

AU - El Haj, Mahmoud

AU - Giannakopoulos, George

AU - AbuRa'ed, Ahmed

AU - Litvak, Marina

AU - Pittaras, Nikiforos

PY - 2020/12/1

Y1 - 2020/12/1

N2 - This paper presents the results and findings of the Financial Narrative Summarisation shared task (FNS 2020) on summarising UK annual reports. The shared task was organised as part of the 1st Financial Narrative Processing and Financial Narrative Summarisation Workshop (FNP-FNS 2020). The shared task included one main task which is the use of either abstractive or extractive summarisation methodologies and techniques to automatically summarise UK financial annual reports. FNS summarisation shared task is the first to target financial annual reports. 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 (LSE). A total number of 24 systems from 9 different teams participated in the shared task. In addition we had 2 baseline summarisers and additional 2 topline summarisers to help evaluate and compare against the results of the participants.

AB - This paper presents the results and findings of the Financial Narrative Summarisation shared task (FNS 2020) on summarising UK annual reports. The shared task was organised as part of the 1st Financial Narrative Processing and Financial Narrative Summarisation Workshop (FNP-FNS 2020). The shared task included one main task which is the use of either abstractive or extractive summarisation methodologies and techniques to automatically summarise UK financial annual reports. FNS summarisation shared task is the first to target financial annual reports. 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 (LSE). A total number of 24 systems from 9 different teams participated in the shared task. In addition we had 2 baseline summarisers and additional 2 topline summarisers to help evaluate and compare against the results of the participants.

KW - Financial Narrative Processing

KW - NLP

KW - annual reports

KW - Information Extraction

KW - summarisation

M3 - Conference contribution/Paper

SN - 9791095546238

BT - The First Financial Narrative Processing Workshop

A2 - El-Haj, Mahmoud

ER -