Representation of structured data of the text genre as a technique for automatic text processing

Abstract

The present article was developed in the field of Natural Language Processing and Language Studies based on a corpus compiled by computational tools. This study is based on the assumption that it is helpful to trace a close relationship between corpus generation/annotation and the assessment of the constitutive elements of the text genre source. It aims to demonstrate, through specific studies of structured data from the text genre ‘scientific article’, alternatives to automatic text processing techniques. In order to reach the intended goal, the authors created a computational model for the compilation of a linguistic, specialized Corpus, representative of the genre Scientific Article - CorpACE. The object of study includes the constitutive elements of scientific articles, marked in XML, extracted and collected from the SciELO-Scientific Electronic Library On-line database. The final product was a database obtained with information extracted and structured in XML format, which designates and identifies the markups of the genre being analyzed and is available for many tools and applications. The results demonstrate how the representation of constitutive elements of the genre can condense available information with hierarchical and dynamic processes built during the compilation. At the end of the study, it is believed that more research will be required for bringing Language Science and Computer Science closer with emphasis on NLP in the attempt to represent and manipulate linguistic knowledge in its many levels – morphological, syntactic, semantic and discursive – in order to improve implementation and manipulation of automatic text processing.

Categorización e integración de columnas de opinión y contenido de páginas web aplicando técnicas de Procesamiento de Lenguaje Natural

“…Estudios preliminares, reflejan la necesidad de abordar la brecha de recursos en el procesamiento del lenguaje natural para cada idioma de forma particular, pues esto proporciona un recurso curado para la clasificación de oraciones en el respectivo idioma, promoviendo la diversidad lingüística y modelos de lenguaje inclusivos. Proceso que debe contar con el acompañamiento de hablantes nativos que evalúen las etiquetas de Transformación de Oraciones, mejorando la confiabilidad de los conjuntos de datos, empoderando a investigadores, profesionales y desarrolladores para construir modelos de PLN precisos y sólidos adaptados a un idioma (13)(14)(15)(16).…”

Natural Language Processing and Fiction Text: Basis for Corpus Research

“…For example, NLP libraries can be used for text mining in the digital corpus of books [2]. Fonseca et al [3] apply NLP tools along with the linguistic corpora based on the XML tagging, analyzing the genre compositional structure. The NLP tools are also used for automated text analysis of a large corpus of journal articles.…”