Detecting Negation Cues and Scopes in Spanish

Salud María Jiménez-Zafra, Roser Morante, Eduardo Blanco, María Teresa Martín Valdivia, L. Alfonso Ureña López

Abstract
In this work we address the processing of negation in Spanish. We first present a machine learning system that processes negation in Spanish. Specifically, we focus on two tasks: i) negation cue detection and ii) scope identification. The corpus used in the experimental framework is the SFU Corpus. The results for cue detection outperform state-of-the-art results, whereas for scope detection this is the first system that performs the task for Spanish. Moreover, we provide a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.
Anthology ID:
2020.lrec-1.853
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6902–6911
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.853
DOI:
Bibkey:
Cite (ACL):
Salud María Jiménez-Zafra, Roser Morante, Eduardo Blanco, María Teresa Martín Valdivia, and L. Alfonso Ureña López. 2020. Detecting Negation Cues and Scopes in Spanish. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6902–6911, Marseille, France. European Language Resources Association.
Cite (Informal):
Detecting Negation Cues and Scopes in Spanish (Jiménez-Zafra et al., LREC 2020)
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