Towards a Multilingual Financial Narrative Processing System

El Haj, Mahmoud and Rayson, Paul Edward and Alves, Paulo and Young, Steven Eric (2018) Towards a Multilingual Financial Narrative Processing System. In: The First Financial Narrative Processing Workshop. UNSPECIFIED, JPN, pp. 52-58. ISBN 9791095546238

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Abstract

Large scale financial narrative processing for UK annual reports has only become possible in the last few years with our prior work on automatically understanding and extracting the structure of unstructured PDF glossy reports. This has levelled the playing field somewhat relative to US research where annual reports (10-K Forms) have a rigid structure imposed on them by legislation and are submitted in plain text format. The structure extraction is just the first step in a pipeline of analyses to examine disclosure quality and change over time relative to financial results. In this paper, we describe and evaluate the use of similar Information Extraction and Natural Language Processing methods for extraction and analysis of annual financial reports in a second language (Portuguese) in order to evaluate the applicability of our techniques in another national context (Portugal). Extraction accuracy varies between languages with English exceeding 95%. To further examine the robustness of our techniques, we apply the extraction methods on a comprehensive sample of annual reports published by UK and Portuguese non-financial firms between 2003 and 2015.

Item Type: Contribution in Book/Report/Proceedings
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
Lancaster University Management School > Accounting & Finance
ID Code: 123924
Deposited By: ep_importer_pure
Deposited On: 08 Mar 2018 14:30
Refereed?: Yes
Published?: Published
Last Modified: 07 Dec 2019 01:43
URI: https://eprints.lancs.ac.uk/id/eprint/123924

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