Cross-Lingual Argumentative Relation Identification: from English to Portuguese

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Gil Rocha (Autor) FEUP; Christian Stab (Autor) Outra; Henrique Lopes Cardoso (Autor) FEUP; Iryna Gurevych (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 5th Workshop on Argument Mining, 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)

Páginas: 144-154

Indexação

Scopus - 15 Citações

Outras Informações

ID Authenticus: P-00W-4ZY

DOI: 10.18653/v1/W18-5217

Abstract (EN): Argument mining aims to detect and identify argument structures from textual resources. In this paper, we aim to address the task of argumentative relation identification, a subtask of argument mining, for which several approaches have been recently proposed in a monolingual setting. To overcome the lack of annotated resources in less-resourced languages, we present the first attempt to address this subtask in a cross-lingual setting. We compare two standard strategies for crosslanguage learning, namely: projection and direct-transfer. Experimental results show that by using unsupervised language adaptation the proposed approaches perform at a competitive level when compared with fully-supervised inlanguage learning settings.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11