Cross-Lingual Argumentative Relation Identification: from English to Portuguese

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Gil Rocha (Author) FEUP; Christian Stab (Author) Other; Henrique Lopes Cardoso (Author) FEUP; Iryna Gurevych (Author) Other

Conference proceedings International

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

Pages: 144-154

Indexing

Scopus - 15 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11