Detecting negation cues and scopes in Spanish

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

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 ReviewSP-NEG. 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.

Original languageEnglish
Title of host publicationLREC 2020
Subtitle of host publicationProceedings of the 12th International Conference on Language Resources and Evaluation
EditorsNicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of PublicationMarseille, France
PublisherEuropean Language Resources Association (ELRA)
Pages6902-6911
Number of pages10
ISBN (Electronic)9791095546344
Publication statusPublished - May 2020
Event12th International Conference on Language Resources and Evaluation, LREC 2020 - Marseille, France
Duration: 11 May 202016 May 2020

Conference

Conference12th International Conference on Language Resources and Evaluation, LREC 2020
CountryFrance
CityMarseille
Period11/05/2016/05/20

Keywords

  • Negation cues detection
  • Negation processing
  • Scope identification
  • SFU Review-NEG corpus
  • Spanish

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