Annotating Arguments in a Corpus of Opinion Articles

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Rocha, G (Author) Other; Trigo, L (Author) Other; Henrique Lopes Cardoso (Author) FEUP; Sousa-Silva, R (Author) Other; Carvalho, P (Author) Other; Martins, B (Author) Other; Won, M (Author) Other

Conference proceedings International

Title: Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022)

Pages: 1890-1899

LREC 2022: Language Resources and Evaluation Conference, 13

Marseille, 2022

Indexing

ISI Web of Knowledge - 1 Citation

Scopus

Other information

Authenticus ID: P-00X-9M5

Abstract (EN): Interest in argument mining has resulted in an increasing number of argument annotated corpora. However, most focus on English texts with explicit argumentative discourse markers, such as persuasive essays or legal documents. Conversely, we report on the first extensive and consolidated Portuguese argument annotation project focused on opinion articles. We briefly describe the annotation guidelines based on a multi-layered process and analyze the manual annotations produced, highlighting the main challenges of this textual genre. We then conduct a comprehensive inter-annotator agreement analysis, including argumentative discourse units, their classes and relations, and resulting graphs. This analysis reveals that each of these aspects tackles very different kinds of challenges. We observe differences in annotator profiles, motivating our aim of producing a non-aggregated corpus containing the insights of every annotator. We note that the interpretation and identification of token-level arguments is challenging; nevertheless, tasks that focus on higher-level components of the argument structure can obtain considerable agreement. We lay down perspectives on corpus usage, exploiting its multi-faceted nature.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10