Cross-Lingual Argumentative Relation Identification: from English to Portuguese

Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych

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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 cross-language 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 in-language learning settings.
Anthology ID:
W18-5217
Volume:
Proceedings of the 5th Workshop on Argument Mining
Month:
November
Year:
2018
Address:
Brussels, Belgium
Editors:
Noam Slonim, Ranit Aharonov
Venue:
ArgMining
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
144–154
Language:
URL:
https://aclanthology.org/W18-5217
DOI:
10.18653/v1/W18-5217
Bibkey:
Cite (ACL):
Gil Rocha, Christian Stab, Henrique Lopes Cardoso, and Iryna Gurevych. 2018. Cross-Lingual Argumentative Relation Identification: from English to Portuguese. In Proceedings of the 5th Workshop on Argument Mining, pages 144–154, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Cross-Lingual Argumentative Relation Identification: from English to Portuguese (Rocha et al., ArgMining 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/W18-5217.pdf
Code
 GilRocha/emnlp2018-argmin-workshop-xLingArgRelId