SciEsp: Structural Analysis of Abstracts Written in Spanish

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Autore principale: Irvin Vargas-Campos
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2016
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author Irvin Vargas-Campos
author_facet Irvin Vargas-Campos
contents SciEsp: Structural Analysis of Abstracts Written in Spanish Irvin Vargas-Campos Fernando Alva-Manchego Computación argumentative zoning supervised machine learning Supporting technologies for scientific writing 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. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469023 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20
format Artículo científico
id redalyc_61547469023
institution Redalyc
language en
publishDate 2016
publisher Instituto Politécnico Nacional
spellingShingle SciEsp: Structural Analysis of Abstracts Written in Spanish
Irvin Vargas-Campos
Computación
argumentative zoning
supervised machine learning
Supporting technologies for scientific writing
SciEsp: Structural Analysis of Abstracts Written in Spanish Irvin Vargas-Campos Fernando Alva-Manchego Computación argumentative zoning supervised machine learning Supporting technologies for scientific writing 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. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469023 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20
title SciEsp: Structural Analysis of Abstracts Written in Spanish
topic Computación
argumentative zoning
supervised machine learning
Supporting technologies for scientific writing
url https://www.redalyc.org/articulo.oa?id=61547469023