An automatic approach to generate corpus in Spanish

A corpus is an indispensable linguistic resource for any application of natural language processing. Some corpora have been created manually or semi-automatically for a specific domain. In this paper, we present an automatic approach to generate corpus from digital information sources such as Wikipedia and web pages. The information extracted by Wikipedia is done by delimiting the domain, using a propagation algorithm to determine the categories associated with a domain region and a set of seeds to delimit the search. The information extracted from the web pages is carried out efficiently, determining the patterns associated with the structure of each page with the purpose of defining the quality of the extraction. © Springer Nature Switzerland AG 2018.

• Fecha de publicación: 2018
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/8916
• Acceso en línea: https://hdl.handle.net/20.500.12585/8916
• Palabra clave: Corpus; Knowledge extraction; Linguistic computational; Natural language processing; Text mining; Data mining; Extraction; Natural language processing systems; Tellurium compounds; Websites; Automatic approaches; Corpus; Digital information; Knowledge extraction; Linguistic resources; Propagation algorithm; Text mining; Wikipedia; Linguistics
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/