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        <title>MultiLing 2019: Financial Narrative Summarisation</title>
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        <namePart type="given">Mahmoud</namePart>
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            <title>Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources</title>
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            <namePart type="given">George</namePart>
            <namePart type="family">Giannakopoulos</namePart>
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    <abstract>The Financial Narrative Summarisation task at MultiLing 2019 aims to demonstrate the value and challenges of applying automatic text summarisation to financial text written in English, usually referred to as financial narrative disclosures. The task dataset has been extracted from UK annual reports published in PDF file format. The participants were asked to provide structured summaries, based on real-world, publicly available financial annual reports of UK firms by extracting information from different key sections. Participants were asked to generate summaries that reflects the analysis and assessment of the financial trend of the business over the past year, as provided by annual reports. The evaluation of the summaries was performed using AutoSummENG and Rouge automatic metrics. This paper focuses mainly on the data creation process.</abstract>
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    <identifier type="doi">10.26615/978-954-452-058-8_002</identifier>
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        <date>2019-09</date>
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%0 Conference Proceedings
%T MultiLing 2019: Financial Narrative Summarisation
%A El-Haj, Mahmoud
%Y Giannakopoulos, George
%S Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F el-haj-2019-multiling
%X The Financial Narrative Summarisation task at MultiLing 2019 aims to demonstrate the value and challenges of applying automatic text summarisation to financial text written in English, usually referred to as financial narrative disclosures. The task dataset has been extracted from UK annual reports published in PDF file format. The participants were asked to provide structured summaries, based on real-world, publicly available financial annual reports of UK firms by extracting information from different key sections. Participants were asked to generate summaries that reflects the analysis and assessment of the financial trend of the business over the past year, as provided by annual reports. The evaluation of the summaries was performed using AutoSummENG and Rouge automatic metrics. This paper focuses mainly on the data creation process.
%R 10.26615/978-954-452-058-8_002
%U https://aclanthology.org/W19-8902/
%U https://doi.org/10.26615/978-954-452-058-8_002
%P 6-10

Markdown (Informal)

[MultiLing 2019: Financial Narrative Summarisation](https://aclanthology.org/W19-8902/) (El-Haj, RANLP 2019)

• MultiLing 2019: Financial Narrative Summarisation (El-Haj, RANLP 2019)

ACL

• Mahmoud El-Haj. 2019. MultiLing 2019: Financial Narrative Summarisation. In Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources, pages 6–10, Varna, Bulgaria. INCOMA Ltd..