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Multilingual Financial Narrative Processing: Analysing Annual Reports in English, Spanish and Portuguese

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

Published
Publication date02/2019
Host publicationMultilingual Text Analysis: Challenges, Models, and Approaches
EditorsMarina Litvak, Natalia Vanetik
PublisherWorld Scientific Publishing
ISBN (Print)9789813274877
Original languageEnglish

Abstract

This chapter describes and evaluates the use of Information Extraction and Natural Language Processing methods for extraction and analysis of financial annual reports in three languages: English, Spanish and Portuguese.

The work described retains information on document structure which is needed to enable a clear distinction between narrative and financial statement components of annual reports and between individual sections within the narratives component. Extraction accuracy varies between languages with English exceeding 95 %. We apply the extraction methods on a comprehensive sample of annual reports published by UK, Spanish and Portuguese non-financial firms between 2003 and 2014.