Contrastive Learning for Morphological Disambiguation Using Large Language Models in Low-Resource Settings
In this paper, a contrastive learning approach for morphological disambiguation (MD) using large language models (LLMs) is presented. A contrastive loss function is introduced for training the approach, which reduces the distance between the correct analysis and contextual embeddings while maintaini...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-11-01
|
| Schriftenreihe: | Applied Sciences |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2076-3417/14/21/9992 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|