SciEsp: Structural Analysis of Abstracts Written in Spanish



Document title: SciEsp: Structural Analysis of Abstracts Written in Spanish
Journal: Computación y sistemas
Database: PERIÓDICA
System number: 000411083
ISSN: 1405-5546
Authors: 1
1
Institutions: 1Pontificia Universidad Católica del Perú, Departamento de Tecnología de la Información, Lima. Perú
Year:
Season: Jul-Sep
Volumen: 20
Number: 3
Pages: 551-558
Country: México
Language: Inglés
Document type: Artículo
Approach: Experimental, aplicado
English abstract SciEsp is a tool for scientific writing in Spanish. Its objective is to help students when writing abstracts of scientific texts, such as a thesis or a dissertation. The tool identifies the different components of an abstract structure according to the guidelines of “good writing” proposed by the literature. Each sentence in the abstract is classified to one of six different rhetorical categories (background, gap, purpose, methodology, result, or conclusion), warning the writer of a possible missing component of the “optimal” structure. We manually annotated a corpus of abstracts from computer science theses and dissertations, and use it to train a Naive Bayes classifier that achieves an F1-measure of 0.65. We expect that SciEsp becomes a starting point for further projects in the area of supporting technologies for scientific writing in Spanish
Disciplines: Ciencias de la computación,
Literatura y lingüística
Keyword: Procesamiento de datos,
Lingüística aplicada,
Lingüística computacional,
Aprendizaje de máquinas,
Redacción científica,
Resúmenes
Keyword: Computer science,
Literature and linguistics,
Data processing,
Applied linguistics,
Computing linguistics,
Machine learning,
Scientific writing,
Abstracts
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