Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych · 2018
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.