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Author(s): Gil Rocha
Christian Stab
Henrique Lopes Cardoso
Iryna Gurevych
Title: Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Issue Date: 2018
Abstract: 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.
Source: Proceedings of the 5th Workshop on Argument Mining, 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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