Nadhem Zmandar


2022

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CoFiF Plus: A French Financial Narrative Summarisation Corpus
Nadhem Zmandar | Tobias Daudert | Sina Ahmadi | Mahmoud El-Haj | Paul Rayson
Proceedings of the Thirteenth Language Resources and Evaluation Conference

Natural Language Processing is increasingly being applied in the finance and business industry to analyse the text of many different types of financial documents. Given the increasing growth of firms around the world, the volume of financial disclosures and financial texts in different languages and forms is increasing sharply and therefore the study of language technology methods that automatically summarise content has grown rapidly into a major research area. Corpora for financial narrative summarisation exists in English, but there is a significant lack of financial text resources in the French language. To remedy this, we present CoFiF Plus, the first French financial narrative summarisation dataset providing a comprehensive set of financial text written in French. The dataset has been extracted from French financial reports published in PDF file format. It is composed of 1,703 reports from the most capitalised companies in France (Euronext Paris) covering a time frame from 1995 to 2021. This paper describes the collection, annotation and validation of the financial reports and their summaries. It also describes the dataset and gives the results of some baseline summarisers. Our datasets will be openly available upon the acceptance of the paper.

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Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022
Mahmoud El-Haj | Paul Rayson | Nadhem Zmandar
Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022

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The Financial Narrative Summarisation Shared Task (FNS 2022)
Mahmoud El-Haj | Nadhem Zmandar | Paul Rayson | Ahmed AbuRa’ed | Marina Litvak | Nikiforos Pittaras | George Giannakopoulos | Aris Kosmopoulos | Blanca Carbajo-Coronado | Antonio Moreno-Sandoval
Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022

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.

2021

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Proceedings of the 3rd Financial Narrative Processing Workshop
Mahmoud El-Haj | Paul Rayson | Nadhem Zmandar
Proceedings of the 3rd Financial Narrative Processing Workshop

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Joint abstractive and extractive method for long financial document summarization
Nadhem Zmandar | Abhishek Singh | Mahmoud El-Haj | Paul Rayson
Proceedings of the 3rd Financial Narrative Processing Workshop

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The Financial Narrative Summarisation Shared Task FNS 2021
Nadhem Zmandar | Mahmoud El-Haj | Paul Rayson | Ahmed Abura’Ed | Marina Litvak | Geroge Giannakopoulos | Nikiforos Pittaras
Proceedings of the 3rd Financial Narrative Processing Workshop