Abstract
This chapter describes and evaluates the use of information extraction (IE) and natural language processing (NLP) 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.
Original language | English |
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Title of host publication | Multilingual text analysis |
Subtitle of host publication | challenges, models, and approaches |
Editors | Marina Litvak, Natalia Vanetik |
Publisher | World Scientific Publishing Co. |
Pages | 441-463 |
Number of pages | 23 |
ISBN (Electronic) | 9789813274884 |
ISBN (Print) | 9789813274877 |
DOIs | |
Publication status | Published - 1 Jan 2019 |