Argument corpus development and argument component classification: A study in academic Spanish.

Academic writing is a complex task that requires an author to be skilled in argumentation. The goal of an academic author is to communicate ideas clearly and to convince the reader of the veracity of their claims. However, few students in lower level courses are good arguers, as this is a skill that...

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Published in:Digital Scholarship in the Humanities Vol. 36; no. 2; pp. 287 - 307
Main Authors: García-Gorrostieta, Jesús Miguel, López-López, Aurelio, Rico-Sulayes, Antonio, Carrillo, Maya
Format: Article
Published: Oxford University Press / USA Jun2021
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Online Access:View this record in EBSCOhost
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          García-Gorrostieta, Jesús Miguel
          López-López, Aurelio
          Rico-Sulayes, Antonio
          Carrillo, Maya
        affil:
          Computational Sciences Department, Instituto Nacional de Astrofísica, Óptica y Electrónica , México
          Language Department, Universidad de las Américas Puebla , México
          Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla , México
      su:
        Corpora
        Argument
        Backlash (Engineering)
        Academic discourse
        Classification
      sug:
        subj:
          Corpora
          Argument
          Backlash (Engineering)
          Academic discourse
          Classification
      ab: Academic writing is a complex task that requires an author to be skilled in argumentation. The goal of an academic author is to communicate ideas clearly and to convince the reader of the veracity of their claims. However, few students in lower level courses are good arguers, as this is a skill that takes time to master. With the aim of contributing to the development of this skill, we introduce a freely available annotated corpus to support research on argumentation in Spanish. To build the corpus, we developed an annotation guide to identify argumentation in paragraphs. The guide also outlines how to annotate segments of sentences as either claims or premises and how to indicate relations (support or attack) between such components. Then, an annotated corpus of 444 sections was created, and an almost perfect interannotator agreement rate was achieved for a number of its components. After its construction, the corpus was used to perform an exploratory analysis, which aimed to identify the amount of argumentation in each section as well as the patterns commonly used for argument identification. Thereafter, experiments were conducted to automatically classify argumentative components using lexical, semantic, discourse, structural, and sentiment features. A Document Occurrence Representation was also tested on the corpus constituting a novel approach in the representation of documents for automatic argument detection. The results of these experiments to automatically classify argumentative components in Spanish are very promising and seem to support the idea that linguistic feature engineering plays a crucial role in text classification.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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      holder: Oxford University Press / USA
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