Abstract
This paper presents the winning system for the zero-shot Spanish framing detection task, which also achieves competitive places in eight additional languages. The challenge of the framing detection task lies in identifying a set of 14 frames when only a few or zero samples are available, i.e., a multilingual multi-label few- or zero-shot setting. Our developed solution employs a pre-training procedure based on multilingual Transformers using a label-aware contrastive loss function. In addition to describing the system, we perform an embedding space analysis and ablation study to demonstrate how our pre-training procedure supports framing detection to advance computational framing analysis.
Originalsprache | englisch |
---|---|
Titel | 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop |
Redakteure/-innen | Atul Kr. Ojha, A. Seza Dogruoz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori |
Herausgeber (Verlag) | Association for Computational Linguistics |
Seiten | 941-949 |
Seitenumfang | 9 |
ISBN (elektronisch) | 9781959429999 |
Publikationsstatus | Veröffentlicht - 2023 |
Veranstaltung | 17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023 - Toronto, Hybrid / Virtual, Kanada Dauer: 13 Juli 2023 → 14 Juli 2023 |
Konferenz
Konferenz | 17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics |
---|---|
Kurztitel | ACL 2023 |
Land/Gebiet | Kanada |
Ort | Toronto, Hybrid / Virtual |
Zeitraum | 13/07/23 → 14/07/23 |
ASJC Scopus subject areas
- Theoretische Informatik und Mathematik
- Angewandte Informatik
- Theoretische Informatik