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1
Multilingual Financial Narrative Processing:Analysing Annual Reports in English, Spanish and Portuguese
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.
URL: https://doi.org/10.1142/11116
https://eprints.lancs.ac.uk/id/eprint/126712/
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2
Modality in spoken Spanish and Japanese: a corpus-based study and automatic annotation
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3
Collecting and POS-tagging a lexical resource of Japanese biomedical terms from a corpus ; Recogida y etiquetado morfológico de un lexicón de términos biomédicos en japonés a partir de corpus
Herrero Zorita, Carlos; Campillos Llanos, Leonardo; Moreno Sandoval, Antonio. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2016
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Collecting and POS-tagging a lexical resource of Japanese biomedical terms from a corpus ; Recogida y etiquetado morfológico de un lexicón de términos biomédicos en japonés a partir de corpus
Herrero Zorita, Carlos; Campillos Llanos, Leonardo; Moreno Sandoval, Antonio. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2014
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