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 language | English |
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Title of host publication | LREC 2020 |
Subtitle of host publication | Proceedings of the 12th International Conference on Language Resources and Evaluation |
Editors | Nicoletta 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 Publication | Marseille, France |
Publisher | European Language Resources Association (ELRA) |
Pages | 6902-6911 |
Number of pages | 10 |
ISBN (Electronic) | 9791095546344 |
Publication status | Published - May 2020 |
Event | 12th International Conference on Language Resources and Evaluation, LREC 2020 - Marseille, France Duration: 11 May 2020 → 16 May 2020 |
Conference
Conference | 12th International Conference on Language Resources and Evaluation, LREC 2020 |
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Country/Territory | France |
City | Marseille |
Period | 11/05/20 → 16/05/20 |
Keywords
- Negation cues detection
- Negation processing
- Scope identification
- SFU Review-NEG corpus
- Spanish